Wüest Partner AG
Münzgraben 6, 3011 Bern, Switzerland
Ihr Aufgabengebiet In Zusammenarbeit mit unseren verantwortlichen Partnern und Projektteams umfasst Ihr Tätigkeitsbereich folgende Schwerpunkte:
Entwicklung und Betreuung von innovativen Applikationen, Dashboards und Reports mittels modernster Business-Intelligence-Technologien
Analyse der Bedürfnisse verschiedener externer und interner Stakeholder sowie Umsetzung in entsprechenden BI-Projekten
Anbindung diverser interner und externer Datenquellen und Durchführung komplexer Analysen von grossen Datenmengen
Mithilfe bei der Akquise, Bearbeitung und Betreuung von Kundenprojekten
Erarbeitung innovativer Lösungsansätze im Bereich von Risikomodellen, Portfoliooptimierungen, Machine Learning, Big Data, etc. in Zusammenarbeit mit einem jungen Team in einem dynamischen Umfeld
Bei Ihrer Arbeit stützen Sie sich auf die Schweizweit grösste Datenbank zum Bau- und Immobilienmarkt und verwenden spezifische, leistungsfähige IT-Werkzeuge und Modelle.
Ihre Qualifikation Um die spannenden und anspruchsvollen Mandate erfolgreich bearbeiten zu können, verfügen Sie über:
Ein abgeschlossenes Studium in Wirtschaftswissenschaften, Informatik, Mathematik, Statistik, oder einem naturwissenschaftlichen Fachgebiet
Begeisterung für Immobilien, Datenvisualisierung, neue Technologien und digitale Geschäftsmodelle
Analytisches Denkvermögen und lösungsorientierte, eigenständige und sorgfältige Arbeitsweise
Dienstleistungsorientierte, belastbare Persönlichkeit, die gerne im Team arbeitet
Kommunikationskompetenz und Überzeugungskraft, sowohl sprachlich als auch visuell
Erfahrung im Bereich Business Intelligence, Data Science oder Data Analytics, idealerweise im Zusammenhang mit Qlik, Tableau, Power BI, Looker etc. sind von Vorteil
Ein weiterer Pluspunkt sind Vertrautheit mit Programmiersprachen im Bereich Data Science, wie Python, R, Matlab, SQL-Datenbanken oder Grundkenntnisse in Web-Programmierung
Gute Deutschkenntnisse werden vorausgesetzt, Kenntnisse in Französisch und/oder Englisch sind von Vorteil.
Wir bieten hochwertige Arbeitsbedingungen, flexible Arbeitszeiten, Raum für die persönliche und fachliche Entwicklung und Weiterbildung sowie einen modernen Arbeitsplatz in der Innenstadt in Bern.
Haben wir Ihr Interesse geweckt? Dann freuen wir uns über Ihr vollständiges Dossier. Bitte richten Sie die Bewerbung per E-Mail an Frau Simone Rombach (bewerbung@wuestpartner.com). Für ergänzende Auskünfte stehen wir Ihnen unter 044 289 91 55 gerne zur Verfügung. Der Stellenantritt erfolgt per sofort oder nach Vereinbarung.
Wüest Partner AG, Münzgraben 6, 3011 Bern
26/07/2018
Full time
Ihr Aufgabengebiet In Zusammenarbeit mit unseren verantwortlichen Partnern und Projektteams umfasst Ihr Tätigkeitsbereich folgende Schwerpunkte:
Entwicklung und Betreuung von innovativen Applikationen, Dashboards und Reports mittels modernster Business-Intelligence-Technologien
Analyse der Bedürfnisse verschiedener externer und interner Stakeholder sowie Umsetzung in entsprechenden BI-Projekten
Anbindung diverser interner und externer Datenquellen und Durchführung komplexer Analysen von grossen Datenmengen
Mithilfe bei der Akquise, Bearbeitung und Betreuung von Kundenprojekten
Erarbeitung innovativer Lösungsansätze im Bereich von Risikomodellen, Portfoliooptimierungen, Machine Learning, Big Data, etc. in Zusammenarbeit mit einem jungen Team in einem dynamischen Umfeld
Bei Ihrer Arbeit stützen Sie sich auf die Schweizweit grösste Datenbank zum Bau- und Immobilienmarkt und verwenden spezifische, leistungsfähige IT-Werkzeuge und Modelle.
Ihre Qualifikation Um die spannenden und anspruchsvollen Mandate erfolgreich bearbeiten zu können, verfügen Sie über:
Ein abgeschlossenes Studium in Wirtschaftswissenschaften, Informatik, Mathematik, Statistik, oder einem naturwissenschaftlichen Fachgebiet
Begeisterung für Immobilien, Datenvisualisierung, neue Technologien und digitale Geschäftsmodelle
Analytisches Denkvermögen und lösungsorientierte, eigenständige und sorgfältige Arbeitsweise
Dienstleistungsorientierte, belastbare Persönlichkeit, die gerne im Team arbeitet
Kommunikationskompetenz und Überzeugungskraft, sowohl sprachlich als auch visuell
Erfahrung im Bereich Business Intelligence, Data Science oder Data Analytics, idealerweise im Zusammenhang mit Qlik, Tableau, Power BI, Looker etc. sind von Vorteil
Ein weiterer Pluspunkt sind Vertrautheit mit Programmiersprachen im Bereich Data Science, wie Python, R, Matlab, SQL-Datenbanken oder Grundkenntnisse in Web-Programmierung
Gute Deutschkenntnisse werden vorausgesetzt, Kenntnisse in Französisch und/oder Englisch sind von Vorteil.
Wir bieten hochwertige Arbeitsbedingungen, flexible Arbeitszeiten, Raum für die persönliche und fachliche Entwicklung und Weiterbildung sowie einen modernen Arbeitsplatz in der Innenstadt in Bern.
Haben wir Ihr Interesse geweckt? Dann freuen wir uns über Ihr vollständiges Dossier. Bitte richten Sie die Bewerbung per E-Mail an Frau Simone Rombach (bewerbung@wuestpartner.com). Für ergänzende Auskünfte stehen wir Ihnen unter 044 289 91 55 gerne zur Verfügung. Der Stellenantritt erfolgt per sofort oder nach Vereinbarung.
Wüest Partner AG, Münzgraben 6, 3011 Bern
Innovation Process Technology AG
Vor Ort bei den Kunden: Zürich / Bern / Luzern / Basel
Wir sind eine Schweizer IT Consulting Firma, fokussiert auf Software Integration. Wir bauen innovative Lösungen beim Kunden vor Ort. Uns gibt es schon seit über 20 Jahren, aber wir leben immer noch eine Start-up Mentalität – 120 Leute, Flat Hierarchy, No Politics, Lots of Fun! Bei uns gilt: People First! Jeder kann sich bei uns einbringen und zum Experten werden. Wissen wird geteilt und gegenseitige Unterstützung ist zentral. We’re ONE Team!
Sie konzipieren und bauen innovative Software-Lösungen mit leading-edge Technologien rund um Machine Learning & Advanced Analytics und helfen damit Firmen wie PostFinance, Helsana, Swiss Re oder SBB sich über Daten auf dem Markt zu differenzieren.
Das bringen Sie mit
Abgeschlossenes Studium (Informatik, Wirtschaftsinformatik, Mathematik, Elektrotechnik oder Physik)
5-10 Jahre Projekterfahrung im Software Engineering
Erfahrung in Data Analytics, Stream Analytics oder Machine Learning
Breites Technologieverständnis für Parallelverarbeitung und hoch performante Systeme
Solide Kenntnisse mit Big Data und Machine Learning Methoden (Graph-Analysen, Text-Mining, Clustering, Hashing, Simulationen…)
Gutes Auftreten und fliessende Deutsch- und Englischkenntnisse
Das sind unsere Benefits für Sie
Bonus für alle gleich: Bonus gibt es bei uns für alle Mitarbeiter – und verteilt wird er proportional gleichmässig.
Jahresausflug «i-Event»: Jedes Jahr verreist die ganze ipt für vier Tage ins Ausland für Workshops und Parties
Garantierte Abwechslung: Verschiedene Kunden, Themen, Methoden und Technologien – als Consultant wird es nicht langweilig.
Das sind die Hard Facts
Ihr Arbeitsort ist vor Ort beim Kunden in der Deutschschweiz (ZH, LU, BS, BE)
80-100% Pensum
Dieses Stelleninserat umschreibt ein Szenario, das Sie in einem Projekt erwarten könnten. Wir suchen daher Talente die für verschiedene Themen und Technologien offen sind.
Wir freuen uns schon jetzt auf Ihre Bewerbung!
16/07/2018
Full time
Wir sind eine Schweizer IT Consulting Firma, fokussiert auf Software Integration. Wir bauen innovative Lösungen beim Kunden vor Ort. Uns gibt es schon seit über 20 Jahren, aber wir leben immer noch eine Start-up Mentalität – 120 Leute, Flat Hierarchy, No Politics, Lots of Fun! Bei uns gilt: People First! Jeder kann sich bei uns einbringen und zum Experten werden. Wissen wird geteilt und gegenseitige Unterstützung ist zentral. We’re ONE Team!
Sie konzipieren und bauen innovative Software-Lösungen mit leading-edge Technologien rund um Machine Learning & Advanced Analytics und helfen damit Firmen wie PostFinance, Helsana, Swiss Re oder SBB sich über Daten auf dem Markt zu differenzieren.
Das bringen Sie mit
Abgeschlossenes Studium (Informatik, Wirtschaftsinformatik, Mathematik, Elektrotechnik oder Physik)
5-10 Jahre Projekterfahrung im Software Engineering
Erfahrung in Data Analytics, Stream Analytics oder Machine Learning
Breites Technologieverständnis für Parallelverarbeitung und hoch performante Systeme
Solide Kenntnisse mit Big Data und Machine Learning Methoden (Graph-Analysen, Text-Mining, Clustering, Hashing, Simulationen…)
Gutes Auftreten und fliessende Deutsch- und Englischkenntnisse
Das sind unsere Benefits für Sie
Bonus für alle gleich: Bonus gibt es bei uns für alle Mitarbeiter – und verteilt wird er proportional gleichmässig.
Jahresausflug «i-Event»: Jedes Jahr verreist die ganze ipt für vier Tage ins Ausland für Workshops und Parties
Garantierte Abwechslung: Verschiedene Kunden, Themen, Methoden und Technologien – als Consultant wird es nicht langweilig.
Das sind die Hard Facts
Ihr Arbeitsort ist vor Ort beim Kunden in der Deutschschweiz (ZH, LU, BS, BE)
80-100% Pensum
Dieses Stelleninserat umschreibt ein Szenario, das Sie in einem Projekt erwarten könnten. Wir suchen daher Talente die für verschiedene Themen und Technologien offen sind.
Wir freuen uns schon jetzt auf Ihre Bewerbung!
Gesucht: Strukturiert denkender, kunden-orientierter Projektmanager mit Datenerfahrung
Wir haben Onedot gegründet, weil wir glauben, dass Daten über verschiedene Quellen und Organisationen hinweg besser konsumierbar sein sollen. In Realität leben wir in einer Welt voller unstrukturierter und verteilten Daten, was uns daran hindert, die wichtigsten globalen Probleme in verschiedensten Bereichen zu lösen.
Onedot bietet eine dynamische, flexible und inspirierende Arbeitskultur mit viel Platz für persönliche Entwicklung und Autonomie, wo Du unser Unternehmen aktiv mitgestalten und einen substantiellen Beitrag zu unserem Erfolg leisten kannst.
Als Data Delivery Manager planst, skizzierst, koordinierst und setzt Du Kundenlieferungen im Rahmen von unseren Subscriptions oder Proof of Concepts zeitgerecht und in hoher Qualität um. Du bist der primäre Ansprechpartner für unsere Kunden und managst ein Team von Datenspezialisten welche mit Hilfe von Onedot Technologie Daten unserer Kunden aufbereiten. Deine vorausschauenden Planungsfähigkeiten ermöglichen einen hohen Durchsatz und deine prozess-orientierte Denkweise erlaubt uns den ganzen Lieferprozess effizient zu industrialisieren. Qualitätssicherung auf allen Ebenen ist für Dich eine Selbstverständlichkeit. Du bist stark im Anforderungsmanagement von komplexen Datenprojekten und hast einen guten Draht zu Kunden und deren Bedürfnissen. Kommunikation mit dem Team und unseren Kunden ist deine Stärke welche Du zielgerichtet einsetzt, von Kundenmeeting bis zu Reports für Kundenlieferungen und interner Dokumentation. Gleichzeitig arbeitest Du aber auch im Team mit und bearbeitest Datenprojekte selbst mit, um die Prozesse und Abläufe kontinuierlich verbessern zu können.
Onedot entwickelt modernste Machine Learning Algorithmen, probabilistische Methoden und statistische Textanalysen, um unstrukturierte Daten automatisch in strukturierte Information zu verwandeln. Unsere wegweisende Software erzielt Resultate mit übermenschlicher Präzision, macht heutige Datenstandards überflüssig und beschleunigt das Wachstum von Organisationen in allen Industrien.
Onedot ist ein Startup welches von führenden Venture Capital Firmen und Weltklasse-Unternehmern unterstützt wird.
Dein Wirkungsbereich:
Du verantwortest Planung, Koordination und Umsetzung von Kundenlieferungen mit Hilfe von Onedot Technologie um.
Du legst Umfang und Budget von Kundenlieferungen fest und erstellst Offerten für Proof of Concepts und Subscriptions.
Du bist in engem Kontakt mit unseren Kunden bezüglich ihren Bedürfnissen und managest ihre Anforderungen und deren Umsetzung bei Onedot.
Du definierst Qualitätskriterien, setzt die Einhaltung von Qualitätsstandards in der Organisation um und führst auch selbst Qualitätssicherung durch.
Du stellst sicher dass die Kundenlieferungen zeitsparend und effizient umgesetzt werden durch Einführung von standardisierten Prozessen und Richtlinien.
Du arbeitest eng mit unseren Sales und Engineering Teams zusammen an der kontinuierlichen Verbesserung und Automatisierung unseres Produkts
Unsere Voraussetzungen:
Schweizer Pass, EU Pass oder gültige Arbeitserlaubnis für die Schweiz
Ausgezeichnete Deutsch und English Sprachkenntnisse (mündlich und schriftlich), C1 oder höher
Minimum 3 Jahre Erfahrung als Deliverymanager, Projektmanager oder Teamlead im Bereich Datenverarbeitung
Mehrere Jahre relevante Erfahrung als BI Analyst, Data Analyst, Data Engineer oder Data Scientist
Affinität zu E-Commerce, Produktdaten und Enterprise Software
Erfahrung in ETL Software, Daten Pipelines und Data Warehousing
Kenntnisse in Prozessmanagement/-optimierung, Qualitätssicherung und Customer Success Management
Nachweisbare Erfahrung und Erfolge in Requirements Management von komplexeren IT Projekten
Kenntnisse in Scriptsprachen (Bash, Python oder R), Datenformaten (Excel, CSV, XML, JSON) und Office Software (Excel)
Du bist ein(e) Grossdenker(in), lebst eine Getting-Things-Done Mentalität und hast Spass mit einem High-Impact Team zu arbeiten!
Unsere Benefits :
Leistungsorientierte Kompensation, weil wir gute Arbeit, die viel Impact generiert gerne belohnen
Flexible Arbeitszeiten, da deine Resultate, nicht nur Präsenzzeit zählen
Gelegentliches Arbeiten von zu Hause, damit Du konzentriert und produktiv sein kannst
Team aus verschiedensten Nationalitäten, sodass wir voneinander lernen können und gemeinsam vorwärts kommen
Cooles Büro mit viel Platz, weil wir es gerne gemütlich und komfortabel haben
Feine Snacks, Getränke, Kaffee und andere Annehmlichkeiten sind bei uns inbegriffen
Häufige Teamevents, um uns auch persönlich besser kennen zu lernen
Geplante Ausbildungen und Trainings, damit wir unseren Horizont immer wieder erweitern
Gute Unfallversicherung, für deine persönliche Gesundheit
Grosszügige Vorsorgeleistungen, damit auch in Zukunft für Dich gesorgt ist
Im Rahmen unseres Engagements für die Vielfalt unserer Firmenkultur engagiert sich Onedot für gleiche Beschäftigungsmöglichkeiten ohne Rücksicht auf Rasse, Hautfarbe, nationale Herkunft, ethnische Zugehörigkeit, Geschlecht, Behinderung, sexuelle Orientierung, Geschlechtsidentität oder Religion.
Dies ist eine 100% Stelle in unserem Hauptquartier in Schlieren/Zürich.
Bewirb Dich noch heute bei uns und werde Teil der Onedot Erfolgsgeschichte!
Interessiert? JOIN us now!
Ansprechperson : Tobias Widmer
CTO
30/06/2018
Full time
Gesucht: Strukturiert denkender, kunden-orientierter Projektmanager mit Datenerfahrung
Wir haben Onedot gegründet, weil wir glauben, dass Daten über verschiedene Quellen und Organisationen hinweg besser konsumierbar sein sollen. In Realität leben wir in einer Welt voller unstrukturierter und verteilten Daten, was uns daran hindert, die wichtigsten globalen Probleme in verschiedensten Bereichen zu lösen.
Onedot bietet eine dynamische, flexible und inspirierende Arbeitskultur mit viel Platz für persönliche Entwicklung und Autonomie, wo Du unser Unternehmen aktiv mitgestalten und einen substantiellen Beitrag zu unserem Erfolg leisten kannst.
Als Data Delivery Manager planst, skizzierst, koordinierst und setzt Du Kundenlieferungen im Rahmen von unseren Subscriptions oder Proof of Concepts zeitgerecht und in hoher Qualität um. Du bist der primäre Ansprechpartner für unsere Kunden und managst ein Team von Datenspezialisten welche mit Hilfe von Onedot Technologie Daten unserer Kunden aufbereiten. Deine vorausschauenden Planungsfähigkeiten ermöglichen einen hohen Durchsatz und deine prozess-orientierte Denkweise erlaubt uns den ganzen Lieferprozess effizient zu industrialisieren. Qualitätssicherung auf allen Ebenen ist für Dich eine Selbstverständlichkeit. Du bist stark im Anforderungsmanagement von komplexen Datenprojekten und hast einen guten Draht zu Kunden und deren Bedürfnissen. Kommunikation mit dem Team und unseren Kunden ist deine Stärke welche Du zielgerichtet einsetzt, von Kundenmeeting bis zu Reports für Kundenlieferungen und interner Dokumentation. Gleichzeitig arbeitest Du aber auch im Team mit und bearbeitest Datenprojekte selbst mit, um die Prozesse und Abläufe kontinuierlich verbessern zu können.
Onedot entwickelt modernste Machine Learning Algorithmen, probabilistische Methoden und statistische Textanalysen, um unstrukturierte Daten automatisch in strukturierte Information zu verwandeln. Unsere wegweisende Software erzielt Resultate mit übermenschlicher Präzision, macht heutige Datenstandards überflüssig und beschleunigt das Wachstum von Organisationen in allen Industrien.
Onedot ist ein Startup welches von führenden Venture Capital Firmen und Weltklasse-Unternehmern unterstützt wird.
Dein Wirkungsbereich:
Du verantwortest Planung, Koordination und Umsetzung von Kundenlieferungen mit Hilfe von Onedot Technologie um.
Du legst Umfang und Budget von Kundenlieferungen fest und erstellst Offerten für Proof of Concepts und Subscriptions.
Du bist in engem Kontakt mit unseren Kunden bezüglich ihren Bedürfnissen und managest ihre Anforderungen und deren Umsetzung bei Onedot.
Du definierst Qualitätskriterien, setzt die Einhaltung von Qualitätsstandards in der Organisation um und führst auch selbst Qualitätssicherung durch.
Du stellst sicher dass die Kundenlieferungen zeitsparend und effizient umgesetzt werden durch Einführung von standardisierten Prozessen und Richtlinien.
Du arbeitest eng mit unseren Sales und Engineering Teams zusammen an der kontinuierlichen Verbesserung und Automatisierung unseres Produkts
Unsere Voraussetzungen:
Schweizer Pass, EU Pass oder gültige Arbeitserlaubnis für die Schweiz
Ausgezeichnete Deutsch und English Sprachkenntnisse (mündlich und schriftlich), C1 oder höher
Minimum 3 Jahre Erfahrung als Deliverymanager, Projektmanager oder Teamlead im Bereich Datenverarbeitung
Mehrere Jahre relevante Erfahrung als BI Analyst, Data Analyst, Data Engineer oder Data Scientist
Affinität zu E-Commerce, Produktdaten und Enterprise Software
Erfahrung in ETL Software, Daten Pipelines und Data Warehousing
Kenntnisse in Prozessmanagement/-optimierung, Qualitätssicherung und Customer Success Management
Nachweisbare Erfahrung und Erfolge in Requirements Management von komplexeren IT Projekten
Kenntnisse in Scriptsprachen (Bash, Python oder R), Datenformaten (Excel, CSV, XML, JSON) und Office Software (Excel)
Du bist ein(e) Grossdenker(in), lebst eine Getting-Things-Done Mentalität und hast Spass mit einem High-Impact Team zu arbeiten!
Unsere Benefits :
Leistungsorientierte Kompensation, weil wir gute Arbeit, die viel Impact generiert gerne belohnen
Flexible Arbeitszeiten, da deine Resultate, nicht nur Präsenzzeit zählen
Gelegentliches Arbeiten von zu Hause, damit Du konzentriert und produktiv sein kannst
Team aus verschiedensten Nationalitäten, sodass wir voneinander lernen können und gemeinsam vorwärts kommen
Cooles Büro mit viel Platz, weil wir es gerne gemütlich und komfortabel haben
Feine Snacks, Getränke, Kaffee und andere Annehmlichkeiten sind bei uns inbegriffen
Häufige Teamevents, um uns auch persönlich besser kennen zu lernen
Geplante Ausbildungen und Trainings, damit wir unseren Horizont immer wieder erweitern
Gute Unfallversicherung, für deine persönliche Gesundheit
Grosszügige Vorsorgeleistungen, damit auch in Zukunft für Dich gesorgt ist
Im Rahmen unseres Engagements für die Vielfalt unserer Firmenkultur engagiert sich Onedot für gleiche Beschäftigungsmöglichkeiten ohne Rücksicht auf Rasse, Hautfarbe, nationale Herkunft, ethnische Zugehörigkeit, Geschlecht, Behinderung, sexuelle Orientierung, Geschlechtsidentität oder Religion.
Dies ist eine 100% Stelle in unserem Hauptquartier in Schlieren/Zürich.
Bewirb Dich noch heute bei uns und werde Teil der Onedot Erfolgsgeschichte!
Interessiert? JOIN us now!
Ansprechperson : Tobias Widmer
CTO
CROSS is a consulting and engineering company, subsidiary of the Micropole group, specialized in the fields of Digital Transformation , Performance Management and Data Governance . Present in French-speaking Switzerland since 1987, the 190 employees who compose it support its customers from strategic thinking to the implementation of the solution and its support.
For our customers in various industries, we are defining transformation strategies and we are deploying Data Value Management projects. This includes but is not limited to Agile on premises or Cloud BI / Big data projects, data visualization solutions, predictive analytics, data governance strategies, data management, and data quality solution projects.
ROLE & RESPONSIBILITIES
You lead a diverse group of talented professionals to make Big Data project happen. The teams can draw on multidisciplinary talents from engineering, operations, business analysis, and various roles on the client side of the business. The team's core mission is to make sense of all that data; if you're at the organizational lead position of that project.
You participate in all aspects of the software, including design, development, unit testing, and production documentation. Define key business problems to be solved, formulating approaches and gathering data to solve these problems, develop / analyze / draw conclusions and present solutions.
With your experience in the process of development you play an important role in the organization of existing processes to Big Data. This is an important piece of the puzzle, starting when Big Data efforts are in the prototyping phase to ensure that the Big Data project can make the transition into production (change management).
With your project management skills you are able to design risk mitigation processes.
SKILLS & EXPERIENCE
7-10 years project management experience with at least 3 years in BI, Big Data, Data Warehousing or similar projects.
Highly developed verbal and written communication and presentation skills, with the ability to communicate with a non-technical audience at all levels of the organization
Strong reporting and analytical skills with focus on thoroughness and quality
Functional / technical understanding of BI, data warehouse, data warehouse, big data concepts, applications and solutions
Confrontations difficult circumstances in creative ways, multiple balances and competing priorities and executes
Project Management Certification (PMI - PMP or similar)
Agile Project Management or AgileScrum certifications plus (PMI - ACP, CSM or similar)
Your personal qualities will make the difference: rigorous professional ethics, autonomy while having a team spirit, analytical and synthesis skills, listening, creativity, sense of service, sense of customer relationship, diplomacy, commitment ...
At CROSS, as well as your CV and the experience that you will put forward, we will be seduced by your personality, the place you give to human relations in the work and your desire to be involved in the company.
To summarize, you will understand, if your skills, your desire to grow with us and your personality match our business project, then there is a good chance we will travel together! So, do not hesitate, come join us.
29/06/2018
Full time
CROSS is a consulting and engineering company, subsidiary of the Micropole group, specialized in the fields of Digital Transformation , Performance Management and Data Governance . Present in French-speaking Switzerland since 1987, the 190 employees who compose it support its customers from strategic thinking to the implementation of the solution and its support.
For our customers in various industries, we are defining transformation strategies and we are deploying Data Value Management projects. This includes but is not limited to Agile on premises or Cloud BI / Big data projects, data visualization solutions, predictive analytics, data governance strategies, data management, and data quality solution projects.
ROLE & RESPONSIBILITIES
You lead a diverse group of talented professionals to make Big Data project happen. The teams can draw on multidisciplinary talents from engineering, operations, business analysis, and various roles on the client side of the business. The team's core mission is to make sense of all that data; if you're at the organizational lead position of that project.
You participate in all aspects of the software, including design, development, unit testing, and production documentation. Define key business problems to be solved, formulating approaches and gathering data to solve these problems, develop / analyze / draw conclusions and present solutions.
With your experience in the process of development you play an important role in the organization of existing processes to Big Data. This is an important piece of the puzzle, starting when Big Data efforts are in the prototyping phase to ensure that the Big Data project can make the transition into production (change management).
With your project management skills you are able to design risk mitigation processes.
SKILLS & EXPERIENCE
7-10 years project management experience with at least 3 years in BI, Big Data, Data Warehousing or similar projects.
Highly developed verbal and written communication and presentation skills, with the ability to communicate with a non-technical audience at all levels of the organization
Strong reporting and analytical skills with focus on thoroughness and quality
Functional / technical understanding of BI, data warehouse, data warehouse, big data concepts, applications and solutions
Confrontations difficult circumstances in creative ways, multiple balances and competing priorities and executes
Project Management Certification (PMI - PMP or similar)
Agile Project Management or AgileScrum certifications plus (PMI - ACP, CSM or similar)
Your personal qualities will make the difference: rigorous professional ethics, autonomy while having a team spirit, analytical and synthesis skills, listening, creativity, sense of service, sense of customer relationship, diplomacy, commitment ...
At CROSS, as well as your CV and the experience that you will put forward, we will be seduced by your personality, the place you give to human relations in the work and your desire to be involved in the company.
To summarize, you will understand, if your skills, your desire to grow with us and your personality match our business project, then there is a good chance we will travel together! So, do not hesitate, come join us.
Sind Sie ein strukturierter, analytischer Denker, der sich mit Elan und Freude in komplexe Fragestellungen rund um das Themengebiet Customer Analytics einarbeitet und mit kreativen Lösungen unsere Kunden für unsere Dienstleistungen begeistern will? Ist das Gewinnen von Erkenntnissen aus Daten Ihre grosse Leidenschaft? Dann suchen wir Sie als jemanden zur Verstärkung unseres Teams im Bereich Business Analytics Services mit Arbeitsort in Zürich Oerlikon die/der: Aufgaben
die Fachbereiche bei der Beantwortung von analytischen Fragestellungen rund um unsere digitalen Bezahllösungen und Mehrwertdienstleistungen mit state-of-the-art Datenanalysemethoden unterstützt
fundierte Analysen zur Vorhersage des Kundenverhaltens bei der Nutzung unserer digitalen Dienstleistungen durchführt und die so gewonnenen Erkenntnisse inklusive daraus abgeleiteten Massnahmen adressatengerecht aufbereitet und präsentiert
in Projekten rund um Digital Payment analytische Expertise einbringt und dabei sowohl mit dem Business als auch mit den IT-Abteilungen die gleiche Sprache sprechen kann
zusammen mit unserem Produktmanagement neue und begeisternde Customer Analytics-Lösungen gestaltet, entwickelt und erfolgreich auf dem Markt positioniert
Profil
zusammen mit unserem Produktmanagement neue und begeisternde Customer Analytics-Lösungen gestaltet, entwickelt und erfolgreich auf dem Markt positioniert
Sie können mehrjährige praktische Erfahrung in den Themenkomplexen «Customer Analytics» und «Customer Relationship Management» vorweisen
Sie haben Freude an der Präsentation von Resultaten und vermögen dank Ihrer sehr guten Kommunikationsfähigkeit in Deutsch wie Englisch unsere internen Kunden und externen Partner für unsere Analytics-Dienstleistungen zu begeistern
Sie sind ein guter Team-Player, der dank seiner inspirierenden und motivierenden Art zusammen im Team ausgezeichnete Resultate zu erzielen vermag
Sie verfügen über Praxiskenntnisse in den Analyseumgebungen R, Python und/oder SAS sowie im Datenbankensystem MS SQL Server
Zudem zeichnen Sie sich als eine lösungsorientierte Persönlichkeit mit einem hohen Qualitätsbewusstsein aus
Chancen In unserer Unternehmensgruppe arbeiten Sie in einem dynamischen und kreativen Arbeitsumfeld mit guten Entwicklungsmöglichkeiten. Wir pflegen eine offene und unkomplizierte Kultur und bieten unseren Mitarbeitenden nebst gründlicher Einführung, attraktiven Anstellungsbedingungen und umfangreichen Lohnnebenleistungen auch weitreichende Entscheidungskompetenzen. Nehmen Sie an unserer Erfolgsgeschichte teil und bewerben Sie sich online mit Ihren vollständigen Bewerbungsunterlagen bei: Aduno Gruppe Patrick Grzinic Human Resources Management Über eine Million Kunden vertrauen der Aduno Gruppe beim bargeldlosen Zahlen, bei Mietkautionsbürgschaften, bei Privatkrediten und bei Leasinggeschäften. Über 800 qualifizierte Mitarbeitende setzen sich mit wegweisenden Dienstleistungen und Technologien für die Zufriedenheit der Kunden und Partner ein. www.aduno-gruppe.ch
14/08/2018
Full time
Sind Sie ein strukturierter, analytischer Denker, der sich mit Elan und Freude in komplexe Fragestellungen rund um das Themengebiet Customer Analytics einarbeitet und mit kreativen Lösungen unsere Kunden für unsere Dienstleistungen begeistern will? Ist das Gewinnen von Erkenntnissen aus Daten Ihre grosse Leidenschaft? Dann suchen wir Sie als jemanden zur Verstärkung unseres Teams im Bereich Business Analytics Services mit Arbeitsort in Zürich Oerlikon die/der: Aufgaben
die Fachbereiche bei der Beantwortung von analytischen Fragestellungen rund um unsere digitalen Bezahllösungen und Mehrwertdienstleistungen mit state-of-the-art Datenanalysemethoden unterstützt
fundierte Analysen zur Vorhersage des Kundenverhaltens bei der Nutzung unserer digitalen Dienstleistungen durchführt und die so gewonnenen Erkenntnisse inklusive daraus abgeleiteten Massnahmen adressatengerecht aufbereitet und präsentiert
in Projekten rund um Digital Payment analytische Expertise einbringt und dabei sowohl mit dem Business als auch mit den IT-Abteilungen die gleiche Sprache sprechen kann
zusammen mit unserem Produktmanagement neue und begeisternde Customer Analytics-Lösungen gestaltet, entwickelt und erfolgreich auf dem Markt positioniert
Profil
zusammen mit unserem Produktmanagement neue und begeisternde Customer Analytics-Lösungen gestaltet, entwickelt und erfolgreich auf dem Markt positioniert
Sie können mehrjährige praktische Erfahrung in den Themenkomplexen «Customer Analytics» und «Customer Relationship Management» vorweisen
Sie haben Freude an der Präsentation von Resultaten und vermögen dank Ihrer sehr guten Kommunikationsfähigkeit in Deutsch wie Englisch unsere internen Kunden und externen Partner für unsere Analytics-Dienstleistungen zu begeistern
Sie sind ein guter Team-Player, der dank seiner inspirierenden und motivierenden Art zusammen im Team ausgezeichnete Resultate zu erzielen vermag
Sie verfügen über Praxiskenntnisse in den Analyseumgebungen R, Python und/oder SAS sowie im Datenbankensystem MS SQL Server
Zudem zeichnen Sie sich als eine lösungsorientierte Persönlichkeit mit einem hohen Qualitätsbewusstsein aus
Chancen In unserer Unternehmensgruppe arbeiten Sie in einem dynamischen und kreativen Arbeitsumfeld mit guten Entwicklungsmöglichkeiten. Wir pflegen eine offene und unkomplizierte Kultur und bieten unseren Mitarbeitenden nebst gründlicher Einführung, attraktiven Anstellungsbedingungen und umfangreichen Lohnnebenleistungen auch weitreichende Entscheidungskompetenzen. Nehmen Sie an unserer Erfolgsgeschichte teil und bewerben Sie sich online mit Ihren vollständigen Bewerbungsunterlagen bei: Aduno Gruppe Patrick Grzinic Human Resources Management Über eine Million Kunden vertrauen der Aduno Gruppe beim bargeldlosen Zahlen, bei Mietkautionsbürgschaften, bei Privatkrediten und bei Leasinggeschäften. Über 800 qualifizierte Mitarbeitende setzen sich mit wegweisenden Dienstleistungen und Technologien für die Zufriedenheit der Kunden und Partner ein. www.aduno-gruppe.ch
Sector : Pharmaceutical
Location : Switzerland
Salary Description: Negotiable
Posted : 08/08/2018
Ref No: 120547
In order to accurately quantify changes in disease states so that better drugs can be brought onto the market, my client is seeking a CSU Data Scientist. They will be investigating the use of sensors to quantify disease, enabling the use of these novel technologies in clinical trials.
Responsibilities :
* Analyzing and integrating data from mobile medical devices, large multivariate clinical data sets and real-world data (such as medical claims) and using modern analysis techniques to improve how to extract medically relevant information from this wealth of data. * This will require interest and competence across a range of applied fields, but focuses on Digital Health (wearables, ambient monitors, etc) for device assessment, implementation into clinical studies, as well as validation. * Specifically, tasks may include evaluating and improving performance of published and new algorithms on clinical datasets, establishing software frameworks for efficient and effective data exploration, or scientific publication of results.
Requirements : - MSc. (with 2-3 years of experience) or PhD in fields like computational science, life sciences, statistics, maths or physics - Experience in working with complex numerical challenges/ tasks - Fluency in Python, R, and/or Matlab
Please send CVs or call +41 (0) 44 215 2051
Michael Bailey International is acting as an Employment Business in relation to this vacancy.
14/08/2018
Full time
Sector : Pharmaceutical
Location : Switzerland
Salary Description: Negotiable
Posted : 08/08/2018
Ref No: 120547
In order to accurately quantify changes in disease states so that better drugs can be brought onto the market, my client is seeking a CSU Data Scientist. They will be investigating the use of sensors to quantify disease, enabling the use of these novel technologies in clinical trials.
Responsibilities :
* Analyzing and integrating data from mobile medical devices, large multivariate clinical data sets and real-world data (such as medical claims) and using modern analysis techniques to improve how to extract medically relevant information from this wealth of data. * This will require interest and competence across a range of applied fields, but focuses on Digital Health (wearables, ambient monitors, etc) for device assessment, implementation into clinical studies, as well as validation. * Specifically, tasks may include evaluating and improving performance of published and new algorithms on clinical datasets, establishing software frameworks for efficient and effective data exploration, or scientific publication of results.
Requirements : - MSc. (with 2-3 years of experience) or PhD in fields like computational science, life sciences, statistics, maths or physics - Experience in working with complex numerical challenges/ tasks - Fluency in Python, R, and/or Matlab
Please send CVs or call +41 (0) 44 215 2051
Michael Bailey International is acting as an Employment Business in relation to this vacancy.
Stellenbeschreibung
Bereitstellung von Daten zur Weiterverarbeitung in allen Geschäftsbereichen
Beraten und unterstützen von Daten Analysten für die Definition von Anforderungen sowie Auswertungen
Mitgestalten der VBZ Daten-Strategie und Aufbau eines Daten Self-Service Portals
Aufbereiten und Auswerten von Daten für die Erstellung von Standardreports
Ausarbeiten von Handlungsempfehlungen für die Optimierung von Businessprozessen, basierend auf Erkenntnissen von Datenanalysen
Anforderungsprofil
Abgeschlossene Grundausbildung in der Informatik oder Weiterbildung auf Stufe FH
MAS oder CAS mit Fokus Data Science
Berufserfahrung im Bereich Business Intelligence, Data Science oder Data Analytics
Sehr gute Datenbankkenntnisse (MS-SQL, Oracle)
Starke Dienstleistungsorientierung, hohe Eigenverantwortung sowie analytisches- und vernetztes Denken
Prozessorientiertes Handeln (ITIL) sowie gute Englisch- und Deutschkenntnisse
Kenntnisse der operativen ÖPNV Systeme und/oder deren Datenmodellierung
Wir bieten
Haben wir Ihr Interesse geweckt? Dann bewerben Sie sich online via VBZ-Intranet, Arbeiten für Zürich, Personalgewinnung und -rekrutierung, Stellenangebote.
Bewerben Sie sich
Wir freuen uns auf Ihre kompletten Bewerbungsunterlagen, welche Sie bitte an die folgende Adresse senden: Verkehrsbetriebe, Herr Valentin Nussbaumer, Luggwegstrasse 65, 8048 Zürich
online bewerben
Ihre Ansprechperson für diese Stelle
Herr Valentin Nussbaumer, Telefon: 044 411 47 46
Details
Stelle - Data Scientist 100%
Departement - Departement der Industriellen Betriebe
Dienstabteilung - Verkehrsbetriebe
URL - www.vbz.ch
Tätigkeitsbereich - Informatik
Position - Unteres Kader
Anstellung - Dauerstelle
Pensum - 100%
Ausbildung - Berufslehre, Fachhochschule
Stellenantrittnach - Vereinbarung
Referenz-Nr. - 28300
14/08/2018
Full time
Stellenbeschreibung
Bereitstellung von Daten zur Weiterverarbeitung in allen Geschäftsbereichen
Beraten und unterstützen von Daten Analysten für die Definition von Anforderungen sowie Auswertungen
Mitgestalten der VBZ Daten-Strategie und Aufbau eines Daten Self-Service Portals
Aufbereiten und Auswerten von Daten für die Erstellung von Standardreports
Ausarbeiten von Handlungsempfehlungen für die Optimierung von Businessprozessen, basierend auf Erkenntnissen von Datenanalysen
Anforderungsprofil
Abgeschlossene Grundausbildung in der Informatik oder Weiterbildung auf Stufe FH
MAS oder CAS mit Fokus Data Science
Berufserfahrung im Bereich Business Intelligence, Data Science oder Data Analytics
Sehr gute Datenbankkenntnisse (MS-SQL, Oracle)
Starke Dienstleistungsorientierung, hohe Eigenverantwortung sowie analytisches- und vernetztes Denken
Prozessorientiertes Handeln (ITIL) sowie gute Englisch- und Deutschkenntnisse
Kenntnisse der operativen ÖPNV Systeme und/oder deren Datenmodellierung
Wir bieten
Haben wir Ihr Interesse geweckt? Dann bewerben Sie sich online via VBZ-Intranet, Arbeiten für Zürich, Personalgewinnung und -rekrutierung, Stellenangebote.
Bewerben Sie sich
Wir freuen uns auf Ihre kompletten Bewerbungsunterlagen, welche Sie bitte an die folgende Adresse senden: Verkehrsbetriebe, Herr Valentin Nussbaumer, Luggwegstrasse 65, 8048 Zürich
online bewerben
Ihre Ansprechperson für diese Stelle
Herr Valentin Nussbaumer, Telefon: 044 411 47 46
Details
Stelle - Data Scientist 100%
Departement - Departement der Industriellen Betriebe
Dienstabteilung - Verkehrsbetriebe
URL - www.vbz.ch
Tätigkeitsbereich - Informatik
Position - Unteres Kader
Anstellung - Dauerstelle
Pensum - 100%
Ausbildung - Berufslehre, Fachhochschule
Stellenantrittnach - Vereinbarung
Referenz-Nr. - 28300
STELLENPROFIL
Zur Erreichung optimaler Ergebnisse ist die Allianz Suisse auf eine qualitativ hochstehende Datenbasis angewiesen. Als Leiter/in der Abteilung Digital Transformation – Finance & Analytics verantworten Sie das klassische Anforderungsmanagement aber auch innovative Themenfelder im Bereich Data Analytics. Suchen Sie eine abwechslungsreiche und interessante Tätigkeit? Sind Sie bereit, sich immer wieder neuen Herausforderungen zu stellen, um stets optimale Resultate liefern zu können? Dann sind Sie bei uns richtig!
AUFGABEN
Treiben der Digitalen Transformation von Fachprozessen im Bereich der zentralen Funktionen (Finanzen, HR, unternehmensweites Reporting), insbesondere Automatisierung von verschiedenen Schnittstellen und Weiterentwicklung des zentralen DWH der Allianz Suisse
Lead des Strategiethemas „Data & Analytics“, Aufbau und Weiterentwicklung einer strategischen RoadMap für die Einführung von Big Data & Analytics Technologien, Definition einer Zielarchitektur, Aufbau eines übergreifenden Kernteams sowie Begleitung der Umsetzung
Führung eines Teams von Business Solution Designern (8 Mitarbeiter)
ANFORDERUNGEN / KENNTNISSE / ERFAHRUNGEN
Hoch- / Fachhochschulabschluss, vorzugsweise in mathematisch-naturwissenschaftlicher Richtung oder Informatik / Wirtschaftswissenschaften, ergänzt um relevante berufliche Zusatzqualifikationen
Erste Führungserfahrung
Ausgesprochenes Datenflair und gewandt im Umgang mit komplexen Sachverhalten und Visualisierung von Zusammenhängen
Idealerweise Kenntnisse über Strukturen in einer Versicherungsgesellschaft, deren Bearbeitungsprozesse und Systemlandschaft, vorzugsweise Kenntnisse in SAS und SAP
Selbständige, gewissenhafte und kundenorientierte Persönlichkeit mit Bereitschaft Problemstellungen im Detail zu analysieren und präzise Schlussfolgerungen zu ziehen
Verhandlungssicheres Deutsch und Englisch wird vorausgesetzt
ZUSÄTZLICHE INFORMATIONEN
Sie sind eine engagierte Persönlichkeit und erfüllen unsere Anforderungen? Bei uns erwartet Sie eine herausfordernde Aufgabe sowie spannende Entwicklungsmöglichkeiten. Unser Hauptsitz in Wallisellen, zwischen Einkaufszentrum Glatt und Bahnhof gelegen, verfügt über modernste Arbeitsplätze sowie eine Kinderkrippe. Ihre Unterlagen nehmen wir gerne online entgegen.
Referenzcode
AZCH-5672704-2
Die Allianz ist das Zuhause für alle, die sich trauen – ein Arbeitgeber, der seinen Mitarbeitern den Raum bietet, sich zu entfalten und dadurch unsere weltweite Marktführerschaft aktiv mitzugestalten. Die Allianz kümmert sich aufrichtig um Menschen, sowohl um 85 Millionen Privat- und Firmenkunden als auch um mehr als 142.000 Mitarbeiter. Die Allianz fördert eine Unternehmenskultur, die ihre Mitarbeiter befähigt, gemeinsam Großes zu erschaffen, Höchstleistungen zu erzielen, neue Wege zu gehen und die Branche herauszufordern. Wir streben danach, der vertraute Partner an der Seite unserer Kunden zu sein und ihnen das Vertrauen zu geben, den nächsten Schritt zu wagen. Trauen Sie sich, und werden Sie Teil der Allianz Gruppe. Die Allianz ist ein Arbeitgeber, der Chancengleichheit fördert. Bei uns ist jeder willkommen, unabhängig von Merkmalen wie Geschlecht, Alter, Herkunft, Nationalität, Rasse oder ethnischer Zugehörigkeit, Religion, Behinderung oder sexueller Orientierung.
Die Allianz Suisse hat sich als vertrauenswürdiger Partner in Versicherungs- und Vorsorgefragen etabliert. Dies verdanken wir zu einem grossen Teil unseren engagierten Mitarbeitenden.
Interessiert? Wir freuen uns auf Ihre Bewerbung. Allianz Suisse, Ihr zuverlässiger Partner in Karrierefragen.
14/08/2018
Full time
STELLENPROFIL
Zur Erreichung optimaler Ergebnisse ist die Allianz Suisse auf eine qualitativ hochstehende Datenbasis angewiesen. Als Leiter/in der Abteilung Digital Transformation – Finance & Analytics verantworten Sie das klassische Anforderungsmanagement aber auch innovative Themenfelder im Bereich Data Analytics. Suchen Sie eine abwechslungsreiche und interessante Tätigkeit? Sind Sie bereit, sich immer wieder neuen Herausforderungen zu stellen, um stets optimale Resultate liefern zu können? Dann sind Sie bei uns richtig!
AUFGABEN
Treiben der Digitalen Transformation von Fachprozessen im Bereich der zentralen Funktionen (Finanzen, HR, unternehmensweites Reporting), insbesondere Automatisierung von verschiedenen Schnittstellen und Weiterentwicklung des zentralen DWH der Allianz Suisse
Lead des Strategiethemas „Data & Analytics“, Aufbau und Weiterentwicklung einer strategischen RoadMap für die Einführung von Big Data & Analytics Technologien, Definition einer Zielarchitektur, Aufbau eines übergreifenden Kernteams sowie Begleitung der Umsetzung
Führung eines Teams von Business Solution Designern (8 Mitarbeiter)
ANFORDERUNGEN / KENNTNISSE / ERFAHRUNGEN
Hoch- / Fachhochschulabschluss, vorzugsweise in mathematisch-naturwissenschaftlicher Richtung oder Informatik / Wirtschaftswissenschaften, ergänzt um relevante berufliche Zusatzqualifikationen
Erste Führungserfahrung
Ausgesprochenes Datenflair und gewandt im Umgang mit komplexen Sachverhalten und Visualisierung von Zusammenhängen
Idealerweise Kenntnisse über Strukturen in einer Versicherungsgesellschaft, deren Bearbeitungsprozesse und Systemlandschaft, vorzugsweise Kenntnisse in SAS und SAP
Selbständige, gewissenhafte und kundenorientierte Persönlichkeit mit Bereitschaft Problemstellungen im Detail zu analysieren und präzise Schlussfolgerungen zu ziehen
Verhandlungssicheres Deutsch und Englisch wird vorausgesetzt
ZUSÄTZLICHE INFORMATIONEN
Sie sind eine engagierte Persönlichkeit und erfüllen unsere Anforderungen? Bei uns erwartet Sie eine herausfordernde Aufgabe sowie spannende Entwicklungsmöglichkeiten. Unser Hauptsitz in Wallisellen, zwischen Einkaufszentrum Glatt und Bahnhof gelegen, verfügt über modernste Arbeitsplätze sowie eine Kinderkrippe. Ihre Unterlagen nehmen wir gerne online entgegen.
Referenzcode
AZCH-5672704-2
Die Allianz ist das Zuhause für alle, die sich trauen – ein Arbeitgeber, der seinen Mitarbeitern den Raum bietet, sich zu entfalten und dadurch unsere weltweite Marktführerschaft aktiv mitzugestalten. Die Allianz kümmert sich aufrichtig um Menschen, sowohl um 85 Millionen Privat- und Firmenkunden als auch um mehr als 142.000 Mitarbeiter. Die Allianz fördert eine Unternehmenskultur, die ihre Mitarbeiter befähigt, gemeinsam Großes zu erschaffen, Höchstleistungen zu erzielen, neue Wege zu gehen und die Branche herauszufordern. Wir streben danach, der vertraute Partner an der Seite unserer Kunden zu sein und ihnen das Vertrauen zu geben, den nächsten Schritt zu wagen. Trauen Sie sich, und werden Sie Teil der Allianz Gruppe. Die Allianz ist ein Arbeitgeber, der Chancengleichheit fördert. Bei uns ist jeder willkommen, unabhängig von Merkmalen wie Geschlecht, Alter, Herkunft, Nationalität, Rasse oder ethnischer Zugehörigkeit, Religion, Behinderung oder sexueller Orientierung.
Die Allianz Suisse hat sich als vertrauenswürdiger Partner in Versicherungs- und Vorsorgefragen etabliert. Dies verdanken wir zu einem grossen Teil unseren engagierten Mitarbeitenden.
Interessiert? Wir freuen uns auf Ihre Bewerbung. Allianz Suisse, Ihr zuverlässiger Partner in Karrierefragen.
We are looking for a Data Insights Analyst in the Strategic Planning & Prioritization, Finance team inside the Swiss market. You will be the expert in communicating and delivering data insights for our Teams across the region and opportunities that the business will need to address as part of our commercialization strategies. This role is responsible for driving the consumer centric decision making agenda within the PMSA organization by; providing the business with clear and powerful data grounded insights. Giving the organization a competitive edge by connecting the dots and analyzing various data sources across the organizations.
Specific responsibilities:
• Pro-actively providing adhoc deep dive analysis and reporting based on the available data sources, Based on business needs and pro-active anticipation explore topics and business questions that would help progress the business.
• Come up with new analytical models and approaches to analyze data and extract key insights.
• Experiment and explore new ways to analyze the available data and identify insights/trends/correlations that were previously not considered.
• Collaborate closely with analysts from other departments within the organziation to coordinate joint analysis projects and to support them with consulting on their analytical challenges.
• Educate and train the organization on; analytical thinking, report writing, correct data analytics tools usage
• Liaising KPI reporting with data and performance analysis (IMS, Shipments, Scanning, GCTS)
• Prepare reports and analysis
• Standard Cycle reporting
• Manage, maintain and refresh regular standard reporting
• Ad-hoc Cycle reporting
• Analysis and recommendations of costumer activation
• Key Account internal performance review
• Partner retail analysis and reporting
• Consumer behavior analysis and reporting
Required skills:
• College/University degree in any relevant field;
• Strong experience in a consumer/data insights role in a leading FMCG, consumer electronics or market research company;
• Business acumen & business planning experience;
• Strong knowledge of market research methodologies - qualitative, quantitative and digital;
• Strong analytical skills: ability to connect, interpret and present data to provide insightful and actionable recommendations;
• Strong verbal and written communication skills;
• Strong collaboration spirit.
• Excellent Analytical, Numerical and Statistical skills
• Acknowledge of Data warehousing and processing systems such as Excel, access and tableau
• Attention to details and ability to connect dots with large amount of data and different sources
• Service orientation
• Excellent verbal, written communication and organizational skills.
• Ability to travel
JOIN A GLOBAL MARKET LEADER
PMI is the world’s leading international tobacco company, with six of the world's top 15 international brands and products sold in more than 180 markets. In addition to the manufacture and sale of cigarettes, including the number one global cigarette brand, and other tobacco products, PMI is engaged in the development and commercialization of Reduced-Risk Products (“RRPs”). RRPs is the term we use to refer to products that present, are likely to present, or have the potential to present less risk of harm to smokers who switch to these products versus continued smoking. We have a range of RRPs in various stages of development, scientific assessment and commercialization. Because our RRPs do not burn tobacco, they produce far lower quantities of harmful and potentially harmful compounds than found in cigarette smoke. For more information, see www.pmi.com and www.pmiscience.com.
PMI is an Equal Opportunity Employer.
As with many countries, Switzerland has immigration restrictions which will impact the possibility for non-nationals to work in the country. Profiles required for this position may not being specific enough to justify the recruitment of a person outside of Switzerland or countries having agreed upon free movement with Switzerland, please note that in this case a valid Swiss work permit or Swiss or EU-25/EFTA citizenship is required to apply for this position. APPLY NOW
CONTRACT: Full-Time
LOCATION: Lausanne, Switzerland
DEPARTMENT: Strategic Planning
REMAINING OPENINGS: 1
JOB ID: 8732
14/08/2018
Full time
We are looking for a Data Insights Analyst in the Strategic Planning & Prioritization, Finance team inside the Swiss market. You will be the expert in communicating and delivering data insights for our Teams across the region and opportunities that the business will need to address as part of our commercialization strategies. This role is responsible for driving the consumer centric decision making agenda within the PMSA organization by; providing the business with clear and powerful data grounded insights. Giving the organization a competitive edge by connecting the dots and analyzing various data sources across the organizations.
Specific responsibilities:
• Pro-actively providing adhoc deep dive analysis and reporting based on the available data sources, Based on business needs and pro-active anticipation explore topics and business questions that would help progress the business.
• Come up with new analytical models and approaches to analyze data and extract key insights.
• Experiment and explore new ways to analyze the available data and identify insights/trends/correlations that were previously not considered.
• Collaborate closely with analysts from other departments within the organziation to coordinate joint analysis projects and to support them with consulting on their analytical challenges.
• Educate and train the organization on; analytical thinking, report writing, correct data analytics tools usage
• Liaising KPI reporting with data and performance analysis (IMS, Shipments, Scanning, GCTS)
• Prepare reports and analysis
• Standard Cycle reporting
• Manage, maintain and refresh regular standard reporting
• Ad-hoc Cycle reporting
• Analysis and recommendations of costumer activation
• Key Account internal performance review
• Partner retail analysis and reporting
• Consumer behavior analysis and reporting
Required skills:
• College/University degree in any relevant field;
• Strong experience in a consumer/data insights role in a leading FMCG, consumer electronics or market research company;
• Business acumen & business planning experience;
• Strong knowledge of market research methodologies - qualitative, quantitative and digital;
• Strong analytical skills: ability to connect, interpret and present data to provide insightful and actionable recommendations;
• Strong verbal and written communication skills;
• Strong collaboration spirit.
• Excellent Analytical, Numerical and Statistical skills
• Acknowledge of Data warehousing and processing systems such as Excel, access and tableau
• Attention to details and ability to connect dots with large amount of data and different sources
• Service orientation
• Excellent verbal, written communication and organizational skills.
• Ability to travel
JOIN A GLOBAL MARKET LEADER
PMI is the world’s leading international tobacco company, with six of the world's top 15 international brands and products sold in more than 180 markets. In addition to the manufacture and sale of cigarettes, including the number one global cigarette brand, and other tobacco products, PMI is engaged in the development and commercialization of Reduced-Risk Products (“RRPs”). RRPs is the term we use to refer to products that present, are likely to present, or have the potential to present less risk of harm to smokers who switch to these products versus continued smoking. We have a range of RRPs in various stages of development, scientific assessment and commercialization. Because our RRPs do not burn tobacco, they produce far lower quantities of harmful and potentially harmful compounds than found in cigarette smoke. For more information, see www.pmi.com and www.pmiscience.com.
PMI is an Equal Opportunity Employer.
As with many countries, Switzerland has immigration restrictions which will impact the possibility for non-nationals to work in the country. Profiles required for this position may not being specific enough to justify the recruitment of a person outside of Switzerland or countries having agreed upon free movement with Switzerland, please note that in this case a valid Swiss work permit or Swiss or EU-25/EFTA citizenship is required to apply for this position. APPLY NOW
CONTRACT: Full-Time
LOCATION: Lausanne, Switzerland
DEPARTMENT: Strategic Planning
REMAINING OPENINGS: 1
JOB ID: 8732
We are currently looking to hire an Enterprise Data Architect for our dynamic Enterprise Analytics and Data (EAD) function at Philip Morris International Management SA in Lausanne (Switzerland). Our function’s ultimate objective is to transform PMI to a more data and analytics driven organization.
You will work in a growing team of enterprise data architects whose mission is to define and sustain the information architecture across the company. You will build end-to-end data models (from conceptual to logical) by engaging on an ongoing basis with IS and multi business functions such as Marketing & Sales, Operations or Finance as well as global process teams to understand and structure enterprise data needs.
Specific responsibilities will include:
• Using tools such as business data glossary, data modelling and data governance solutions to maintain and improve our enterprise data architecture;
• Designing key related data architectures top-down to ensure the integrity and sustainability of the enterprise data models;
• Crafting and governing the data integration layer of the enterprise data lake;
• Being involved in the definition of the enterprise data architecture standards and being involved in key data related projects such as global system deployment, enterprise MDM implementation and analytics projects;
• Working very closely with the Enterprise Data Management, the Data Quality and the Analytics teams as well as the IS function in charge of the enterprise platforms implementation.
Required skills:
• Bachelor or Master in computer sciences, information management, financial or any similar field requiring data architecture, data management or analytics;
• Ability to engage with key business partners to translate a business strategy into data architecture; Ability to understand business process models and to link them with data;
• Demonstrable experience in data architecture and data modelling from conceptual to logical model is a requirement. Proven experience using data modelling tools or data governance platform such as power designer or Collibra is a plus.
• Knowledge of innovative data architecture solutions supporting analytic platforms as well as knowledge of data vault and business vault is an asset.
• Experience in at least 2 of the following data domain: enterprise data architecture, data analytics, big data, data integration, data quality or data governance;
• Basic knowledge in SAP S/4Hana or Hadoop ecosystem and BiG DATA Enterprise.
Join a global market leader
PMI is the world’s leading international tobacco company, with six of the world's top 15 international brands and products sold in more than 180 markets. In addition to the manufacture and sale of cigarettes, including the number one global cigarette brand, and other tobacco products, PMI is engaged in the development and commercialization of Reduced-Risk Products (“RRPs”). RRPs is the term we use to refer to products that present, are likely to present, or have the potential to present less risk of harm to smokers who switch to these products versus continued smoking. We have a range of RRPs in various stages of development, scientific assessment and commercialization. Because our RRPs do not burn tobacco, they produce far lower quantities of harmful and potentially harmful compounds than found in cigarette smoke. For more information, see www.pmi.com and www.pmiscience.com.
PMI is an Equal Opportunity Employer.
A valid Swiss work permit or Swiss or EU-25/EFTA citizenship is required for this position. APPLY NOW
CONTRACT: Full-Time
LOCATION: Lausanne, Switzerland
DEPARTMENT: Enterprise Analytics and Data
REMAINING OPENINGS: 2
JOB ID: 6873
14/08/2018
Full time
We are currently looking to hire an Enterprise Data Architect for our dynamic Enterprise Analytics and Data (EAD) function at Philip Morris International Management SA in Lausanne (Switzerland). Our function’s ultimate objective is to transform PMI to a more data and analytics driven organization.
You will work in a growing team of enterprise data architects whose mission is to define and sustain the information architecture across the company. You will build end-to-end data models (from conceptual to logical) by engaging on an ongoing basis with IS and multi business functions such as Marketing & Sales, Operations or Finance as well as global process teams to understand and structure enterprise data needs.
Specific responsibilities will include:
• Using tools such as business data glossary, data modelling and data governance solutions to maintain and improve our enterprise data architecture;
• Designing key related data architectures top-down to ensure the integrity and sustainability of the enterprise data models;
• Crafting and governing the data integration layer of the enterprise data lake;
• Being involved in the definition of the enterprise data architecture standards and being involved in key data related projects such as global system deployment, enterprise MDM implementation and analytics projects;
• Working very closely with the Enterprise Data Management, the Data Quality and the Analytics teams as well as the IS function in charge of the enterprise platforms implementation.
Required skills:
• Bachelor or Master in computer sciences, information management, financial or any similar field requiring data architecture, data management or analytics;
• Ability to engage with key business partners to translate a business strategy into data architecture; Ability to understand business process models and to link them with data;
• Demonstrable experience in data architecture and data modelling from conceptual to logical model is a requirement. Proven experience using data modelling tools or data governance platform such as power designer or Collibra is a plus.
• Knowledge of innovative data architecture solutions supporting analytic platforms as well as knowledge of data vault and business vault is an asset.
• Experience in at least 2 of the following data domain: enterprise data architecture, data analytics, big data, data integration, data quality or data governance;
• Basic knowledge in SAP S/4Hana or Hadoop ecosystem and BiG DATA Enterprise.
Join a global market leader
PMI is the world’s leading international tobacco company, with six of the world's top 15 international brands and products sold in more than 180 markets. In addition to the manufacture and sale of cigarettes, including the number one global cigarette brand, and other tobacco products, PMI is engaged in the development and commercialization of Reduced-Risk Products (“RRPs”). RRPs is the term we use to refer to products that present, are likely to present, or have the potential to present less risk of harm to smokers who switch to these products versus continued smoking. We have a range of RRPs in various stages of development, scientific assessment and commercialization. Because our RRPs do not burn tobacco, they produce far lower quantities of harmful and potentially harmful compounds than found in cigarette smoke. For more information, see www.pmi.com and www.pmiscience.com.
PMI is an Equal Opportunity Employer.
A valid Swiss work permit or Swiss or EU-25/EFTA citizenship is required for this position. APPLY NOW
CONTRACT: Full-Time
LOCATION: Lausanne, Switzerland
DEPARTMENT: Enterprise Analytics and Data
REMAINING OPENINGS: 2
JOB ID: 6873
Location: Basel Job Type: Full Time For our client in Basel we are looking for an Associate Scientist (100%) for a 7-month contract. Duration: 10/09/2018 to 09/03/2019 Location: Basel Workload: 100% About the role: The position will report directly to the team head of Cell Process Development (CPD). You will be working closely with an inter-disciplinary team in an international environment. Your main focus will be to analyse data generated during process development and in the analytics team. You will generate data tables and graphs created in Spotfire for PowerPoint presentations. In order to understand the data you will be able to observe and participate in: * Cell culture and cell isolation activities for Process Development utilizing human primary cells from blood and eyes. * The entire cell process from start to finish (Cryopreservation) after cell culture and gene-modification of the cells. * Both large and small scale experiments will need to be analysed. * You will work in a BSL2 environment and need to adhere to the required standards. Requirements: * Software: - MS Office excellence - TIBCO SPOTFIRE is a big plus * General understanding of cell culture - Primary cell cultures (nice to have) - Antibiotic free culture - Culture maintenance (flasks, bags, dishes) - Large scale culture (nice to have) * General understanding of analytical assays: - Cell count, viability - Microscope: Morphology - Fluorescence microscopy (nice to have) - FACS * General understanding of large scale equipment and quick learning - Isolation of a specific cell type in large scale and through tissue dissection * Adherence to documentation guidelines and DQP (document quality practice) Management * Flexible work hours Educational Requirements: Lab assistant (EFZ, Biology) or Bachelor or equivalent with general understanding of Cell Biology and/or Immunology Languages: Established communication skills. Fluency in German, English, orally and in writing. Are you available immediately, have experience working in pharmaceutical area? Please send your complete CV to daria.mrugala@harveynash.com. For further details feel free to call me +41435088642. I am looking forward to receiving your application.
Contact: Daria Mrugala Tel: +41 44 296 8844 Ref nr: 347776/001
14/08/2018
Full time
Location: Basel Job Type: Full Time For our client in Basel we are looking for an Associate Scientist (100%) for a 7-month contract. Duration: 10/09/2018 to 09/03/2019 Location: Basel Workload: 100% About the role: The position will report directly to the team head of Cell Process Development (CPD). You will be working closely with an inter-disciplinary team in an international environment. Your main focus will be to analyse data generated during process development and in the analytics team. You will generate data tables and graphs created in Spotfire for PowerPoint presentations. In order to understand the data you will be able to observe and participate in: * Cell culture and cell isolation activities for Process Development utilizing human primary cells from blood and eyes. * The entire cell process from start to finish (Cryopreservation) after cell culture and gene-modification of the cells. * Both large and small scale experiments will need to be analysed. * You will work in a BSL2 environment and need to adhere to the required standards. Requirements: * Software: - MS Office excellence - TIBCO SPOTFIRE is a big plus * General understanding of cell culture - Primary cell cultures (nice to have) - Antibiotic free culture - Culture maintenance (flasks, bags, dishes) - Large scale culture (nice to have) * General understanding of analytical assays: - Cell count, viability - Microscope: Morphology - Fluorescence microscopy (nice to have) - FACS * General understanding of large scale equipment and quick learning - Isolation of a specific cell type in large scale and through tissue dissection * Adherence to documentation guidelines and DQP (document quality practice) Management * Flexible work hours Educational Requirements: Lab assistant (EFZ, Biology) or Bachelor or equivalent with general understanding of Cell Biology and/or Immunology Languages: Established communication skills. Fluency in German, English, orally and in writing. Are you available immediately, have experience working in pharmaceutical area? Please send your complete CV to daria.mrugala@harveynash.com. For further details feel free to call me +41435088642. I am looking forward to receiving your application.
Contact: Daria Mrugala Tel: +41 44 296 8844 Ref nr: 347776/001
Arobase SA selects and recruits candidates in the IT sector, for fixed and temporary positions. It is part of Interiman Group, one of the 4 leading recruitment companies in Switzerland, with over 60 specialized agencies. Our driving force is "the passion for your success". Our specialized consultants will know how to highlight your core competences, listen to your needs, and find the job that fits your personality.
For one of our client based in Geneva, we are looking for an
Business Data Analyst
You will be responsible for providing analysis and Insight which help your division growth their business profitably
You should have business and communication skills and able to explain complex solutions to people from various functions and hierarchical levels.
You are comfortable to work in challenging environments with a contagious passion for data analytics and how it drives change.
Your contributions will drive the next generation of decision making and action taking in Global Aftermarket, Marketing and Brand at …, you will also join a network of analysts from multiple divisions, helping you grow your business understanding and Analytical skills.
Responsibilities:
Understand business needs and key decisions points
Deliver insight to support the above decisions
Provide relevant visualization to generate Insight
Leverage Analytical skills for on demand analysis or project based analytics
Lead on establishing data requirements according to business objectives
Required Skills:
3+ years of Business analyst experience
Very strong analytical skills
Robust SQL knowledge / Familiarity with R and / or Python
Robust visualization skills (Tableau /PowerBI)
(Please provide examples of the above as part of application)
Desired Skills:
Ability to work with technical & non-technical stakeholders with the ability to take & deliver Analysis & Insight.
Good working knowledge of CRM's, data warehouses & more
Bachelor degree in computer science or equivalent
Data-Experienced :
- Subject matter expert on data best practices - Attention to details - Developed from scratch databases from multiple initial sources with a BI end purpose - Knowledge of Data Governance practices and processes
Data systems savvy :
- Hadoop - AWS - SQL - Alteryx - Others Conditions :Missions for a one year contract with possibility to be internalized at client. Interested by a new challenge? Feel free to apply
JOB DETAILS
Reference85365RegionGenevaContract typeTemporary - full-timeHire dateTo be arranged
CONTACT
Agency: Arobase SA - Geneva
Address: Place de la Fusterie 9-11 1204 - Genève
Tel: +41 22 552 90 20
12/08/2018
Full time
Arobase SA selects and recruits candidates in the IT sector, for fixed and temporary positions. It is part of Interiman Group, one of the 4 leading recruitment companies in Switzerland, with over 60 specialized agencies. Our driving force is "the passion for your success". Our specialized consultants will know how to highlight your core competences, listen to your needs, and find the job that fits your personality.
For one of our client based in Geneva, we are looking for an
Business Data Analyst
You will be responsible for providing analysis and Insight which help your division growth their business profitably
You should have business and communication skills and able to explain complex solutions to people from various functions and hierarchical levels.
You are comfortable to work in challenging environments with a contagious passion for data analytics and how it drives change.
Your contributions will drive the next generation of decision making and action taking in Global Aftermarket, Marketing and Brand at …, you will also join a network of analysts from multiple divisions, helping you grow your business understanding and Analytical skills.
Responsibilities:
Understand business needs and key decisions points
Deliver insight to support the above decisions
Provide relevant visualization to generate Insight
Leverage Analytical skills for on demand analysis or project based analytics
Lead on establishing data requirements according to business objectives
Required Skills:
3+ years of Business analyst experience
Very strong analytical skills
Robust SQL knowledge / Familiarity with R and / or Python
Robust visualization skills (Tableau /PowerBI)
(Please provide examples of the above as part of application)
Desired Skills:
Ability to work with technical & non-technical stakeholders with the ability to take & deliver Analysis & Insight.
Good working knowledge of CRM's, data warehouses & more
Bachelor degree in computer science or equivalent
Data-Experienced :
- Subject matter expert on data best practices - Attention to details - Developed from scratch databases from multiple initial sources with a BI end purpose - Knowledge of Data Governance practices and processes
Data systems savvy :
- Hadoop - AWS - SQL - Alteryx - Others Conditions :Missions for a one year contract with possibility to be internalized at client. Interested by a new challenge? Feel free to apply
JOB DETAILS
Reference85365RegionGenevaContract typeTemporary - full-timeHire dateTo be arranged
CONTACT
Agency: Arobase SA - Geneva
Address: Place de la Fusterie 9-11 1204 - Genève
Tel: +41 22 552 90 20
Ava is a digital women’s health company based in San Francisco/USA and Zurich/Switzerland. We have recently launched a novel wearable device that has the potential to significantly increase quality of life of millions of women. The core of our business are smart algorithms which exactly and reliably predict a woman’s fertile days. Would you like to join us in this challenging adventure? In order to strengthen our team, we have created the position of a Data Science Intern.
These will be your tasks:
Develop and test new machine learning models to improve our next generation fertility algorithm
Analyze our data to increase our understanding of the underlying physiological mechanisms driving signal changes
Engineer new signal features from raw data
Take ownership of your projects and ensure that your results can be directly incorporated into the next generation of bracelets
You're offering these qualifications:
Master’s degree in a quantitative field
Solid knowledge in Python
Strong statistical knowledge
Prior experience in machine learning is a plus
Prior experience with research projects is a plus
Ability to work independently with a high sense of responsibility
Fluency in English
We appreciate you share our excitement for Ava. Please be aware that only fully documented applications (CV, motivation letter, transcripts) can be considered. Should you not hear back from us within 3 weeks your application has unfortunately not been successful for the respective role.
30/07/2018
Internship
Ava is a digital women’s health company based in San Francisco/USA and Zurich/Switzerland. We have recently launched a novel wearable device that has the potential to significantly increase quality of life of millions of women. The core of our business are smart algorithms which exactly and reliably predict a woman’s fertile days. Would you like to join us in this challenging adventure? In order to strengthen our team, we have created the position of a Data Science Intern.
These will be your tasks:
Develop and test new machine learning models to improve our next generation fertility algorithm
Analyze our data to increase our understanding of the underlying physiological mechanisms driving signal changes
Engineer new signal features from raw data
Take ownership of your projects and ensure that your results can be directly incorporated into the next generation of bracelets
You're offering these qualifications:
Master’s degree in a quantitative field
Solid knowledge in Python
Strong statistical knowledge
Prior experience in machine learning is a plus
Prior experience with research projects is a plus
Ability to work independently with a high sense of responsibility
Fluency in English
We appreciate you share our excitement for Ava. Please be aware that only fully documented applications (CV, motivation letter, transcripts) can be considered. Should you not hear back from us within 3 weeks your application has unfortunately not been successful for the respective role.
Our interdisciplinary Growth Team consists of of designers, engineers, analysts, marketers, and growth managers. Its aim is to improve metrics along the user journey of our self-service customers – in a data-driven an experimental approach. Support the team as a Data Analyst and create actionable insights!
Your Job
You create actionable insights.
You’re part of the hypotheses building, testing, and analyzing process.
You work with the team to analyze data, experiments, and generate insights about our users.
You gather our KPIs in dashboards and reports make sure everyone knows about them.
You know everything about our funnel.
You analyze our database and work with data models to interpret our data.
You identify, analyze, and interpret trends or patterns.
You make sure that our database is reliable.
Your Skills
Generally
You love analytics and you know how valid data is, utilizing your statistical knowledge.
You know that not everybody understands data like you, so you are able to report and visualize data in an easily digestible format for the whole team.
You are critical and you question data to make sure we make the right decisions.
You showcase the current status, but you also know how to predict future patterns.
You are interested in bringing quantitative and qualitative data together to really know what drives our users.
More concrete
You know SQL, R, Python, … whatever works best for you.
Ideally, you have a bachelor’s degree in statistics, computer science, engineering, any technical major, or related work experience.
You’re madly data-driven and analytical. Our growth team strives to find user patterns and to improve user experiences based on them.
You’re a SQL wizard. You’re able to bridge the gaps between databases, spreadsheets, and third-party applications.
You’re passionate about growth, metrics, outstanding user experience, and you bring in an experimental mindset.
You don’t need someone to tell you what to do(you’re able to prioritize your work independently).
Your Benefits
Feel an impact!
An employer who treats you like a grown-up (freedom and responsibility).
A feeling of impact and engagement, with direct feedback from our team and customers.
Develop in an agile and human way, with releases taking minutes – not hours.
A place where you can get things done – no unnecessary meetings and admin stuff.
An interdisciplinary growth team of designers, engineers, analysts, marketers, and growth managers.
Colleagues that feel like family in a cozy place in the heart of St. Gallen.
About us
We're Frontify! A fast growing startup based in St. Gallen, Switzerland. We're passionate about brands and people. With our SaaS solutions we aim to change the world of brands and improve the way how people work together.
We already have great customers like Lufthansa, Vodafone, Lego, etc. and with you on board, we will get our mission accomplished even faster!
30/07/2018
Full time
Our interdisciplinary Growth Team consists of of designers, engineers, analysts, marketers, and growth managers. Its aim is to improve metrics along the user journey of our self-service customers – in a data-driven an experimental approach. Support the team as a Data Analyst and create actionable insights!
Your Job
You create actionable insights.
You’re part of the hypotheses building, testing, and analyzing process.
You work with the team to analyze data, experiments, and generate insights about our users.
You gather our KPIs in dashboards and reports make sure everyone knows about them.
You know everything about our funnel.
You analyze our database and work with data models to interpret our data.
You identify, analyze, and interpret trends or patterns.
You make sure that our database is reliable.
Your Skills
Generally
You love analytics and you know how valid data is, utilizing your statistical knowledge.
You know that not everybody understands data like you, so you are able to report and visualize data in an easily digestible format for the whole team.
You are critical and you question data to make sure we make the right decisions.
You showcase the current status, but you also know how to predict future patterns.
You are interested in bringing quantitative and qualitative data together to really know what drives our users.
More concrete
You know SQL, R, Python, … whatever works best for you.
Ideally, you have a bachelor’s degree in statistics, computer science, engineering, any technical major, or related work experience.
You’re madly data-driven and analytical. Our growth team strives to find user patterns and to improve user experiences based on them.
You’re a SQL wizard. You’re able to bridge the gaps between databases, spreadsheets, and third-party applications.
You’re passionate about growth, metrics, outstanding user experience, and you bring in an experimental mindset.
You don’t need someone to tell you what to do(you’re able to prioritize your work independently).
Your Benefits
Feel an impact!
An employer who treats you like a grown-up (freedom and responsibility).
A feeling of impact and engagement, with direct feedback from our team and customers.
Develop in an agile and human way, with releases taking minutes – not hours.
A place where you can get things done – no unnecessary meetings and admin stuff.
An interdisciplinary growth team of designers, engineers, analysts, marketers, and growth managers.
Colleagues that feel like family in a cozy place in the heart of St. Gallen.
About us
We're Frontify! A fast growing startup based in St. Gallen, Switzerland. We're passionate about brands and people. With our SaaS solutions we aim to change the world of brands and improve the way how people work together.
We already have great customers like Lufthansa, Vodafone, Lego, etc. and with you on board, we will get our mission accomplished even faster!
DESCRIPTION
We are looking for a Data Management Analyst with a background in information management, information architecture, or data modelling to join our Data Architecture and Engineering team and participate in our Enterprise Data Management and Data Governance programs. You will be an integral part of ensuring data quality and robust process for the whole enterprise. To be successful in this role, you need to have strong documentation skills, good knowledge of data systems, and the desire and ability to learn and work with cutting-edge technologies in a fast-paced environment.
Essential Job Functions
Provide overall support to data management processes for the entire organisation;
Identify opportunities to clean data, to improve data models, and to implement data management policies and procedures;
Support development of data quality remediation process and implementation;
Participate in and support projects that involve any data flows and processes relevant to the execution and management of data governance principles and standards;
Assist and support Data Owners in analysing, creating, maintaining, and documenting Enterprise Data Models;
Assist and support Data Stewards to ensure that the data solutions fit the policies and guidelines of the organisation;
Participate in planning and development activities to implement strategic data management capabilities;
Assist or participate in compliance supervision and examination to include auditing standards and control structure;
Engage users across the organisation to help data management communications, translating business and technical requirements into usable documentation to support data initiatives;
Assist in directing and managing meetings or discussions required for data management and governance.
REQUIREMENTS
Technical knowledge and skills
Good knowledge of data models and database technologies;
Strong experience of information management, documentation, and presentation with advanced proficiency with Microsoft Office - experience with SharePoint is a plus;
Experience in the establishment and documentation of control frameworks - Familiarity with Enterprise Architecture is a plus;
Experience with data analysis using Microsoft Excel - Experience with SQL and Power Query is a strong plus;
Familiarity with analytics and visualisation tools, such as Power BI and Tableau;
Familiarity with Agile development;
University degree in the field of Business Management, Information Technology, or other equivalents;
General skills and abilities
Excellent verbal and written communication skills with both technical and non-technical partners (including senior leadership) with focus on informing, influencing, and relationship building;
Strong coordination skills with proven ability to manage multiple assignments and meet deadlines;
Highly detail-oriented, analytical, and great at solving problems using technical competence, creativity, and pragmatism;
Ability to work both independently and within a cross-functional organisation, and effectively collaborate with development, operations, and business teams;
Highly-motivated, self-directed, and able to handle multiple tasks or projects simultaneously;
Fluent in English
Environment
The working language is English. We organize social events, including games nights, yoga classes and monthly happy-hours (plenty of opportunities to celebrate success). You will have access to the latest technologies and work in a diverse and international working environment with customers around the world and suppliers in different countries and time zones.
Please send your application and cover letter in English .
30/07/2018
Full time
DESCRIPTION
We are looking for a Data Management Analyst with a background in information management, information architecture, or data modelling to join our Data Architecture and Engineering team and participate in our Enterprise Data Management and Data Governance programs. You will be an integral part of ensuring data quality and robust process for the whole enterprise. To be successful in this role, you need to have strong documentation skills, good knowledge of data systems, and the desire and ability to learn and work with cutting-edge technologies in a fast-paced environment.
Essential Job Functions
Provide overall support to data management processes for the entire organisation;
Identify opportunities to clean data, to improve data models, and to implement data management policies and procedures;
Support development of data quality remediation process and implementation;
Participate in and support projects that involve any data flows and processes relevant to the execution and management of data governance principles and standards;
Assist and support Data Owners in analysing, creating, maintaining, and documenting Enterprise Data Models;
Assist and support Data Stewards to ensure that the data solutions fit the policies and guidelines of the organisation;
Participate in planning and development activities to implement strategic data management capabilities;
Assist or participate in compliance supervision and examination to include auditing standards and control structure;
Engage users across the organisation to help data management communications, translating business and technical requirements into usable documentation to support data initiatives;
Assist in directing and managing meetings or discussions required for data management and governance.
REQUIREMENTS
Technical knowledge and skills
Good knowledge of data models and database technologies;
Strong experience of information management, documentation, and presentation with advanced proficiency with Microsoft Office - experience with SharePoint is a plus;
Experience in the establishment and documentation of control frameworks - Familiarity with Enterprise Architecture is a plus;
Experience with data analysis using Microsoft Excel - Experience with SQL and Power Query is a strong plus;
Familiarity with analytics and visualisation tools, such as Power BI and Tableau;
Familiarity with Agile development;
University degree in the field of Business Management, Information Technology, or other equivalents;
General skills and abilities
Excellent verbal and written communication skills with both technical and non-technical partners (including senior leadership) with focus on informing, influencing, and relationship building;
Strong coordination skills with proven ability to manage multiple assignments and meet deadlines;
Highly detail-oriented, analytical, and great at solving problems using technical competence, creativity, and pragmatism;
Ability to work both independently and within a cross-functional organisation, and effectively collaborate with development, operations, and business teams;
Highly-motivated, self-directed, and able to handle multiple tasks or projects simultaneously;
Fluent in English
Environment
The working language is English. We organize social events, including games nights, yoga classes and monthly happy-hours (plenty of opportunities to celebrate success). You will have access to the latest technologies and work in a diverse and international working environment with customers around the world and suppliers in different countries and time zones.
Please send your application and cover letter in English .
DESCRIPTION
We are looking for a Data Engineer with a background in business intelligence and data warehouse development to join our Data Architecture and Engineering team.
You will work on design and development of solutions for data collection, data warehousing, and processing large volumes of data.
To be successful in this role, you need to have strong SQL skills, good knowledge of data systems, experience of developing data processing pipelines, comfort dealing with complex technical problems, and the desire and ability to learn and get things done in a fast-paced environment.
Essential Job Functions
Perform data collection, data cleansing and integration, and data retrieval.
Design and develop highly scalable, end-to-end processes to consume, integrate, and analyse large volume and complex data from different data sources.
Design, implement, deploy, and maintain multi-terabyte, scalable, and sustainable enterprise data platform that supports a wide variety of data processing for business intelligence and analytics needs.
Build and integrate robust data processing pipelines for enterprise-level business analytics.
Employ strong engineering mind-set in design and development automated monitoring, alerting, and self-healing features.
Work in a collaborative environment—meetings, iterative development, and design and code review sessions.
Collaborate with Software Developers, Business Intelligence Engineers, and Data Scientists to ensure that requirements for integration, security, quality, and cross functional usage are addressed.
Follow enterprise data standards and participate in the definition and improvement.
Help resolve data issues, troubleshoot system problems, and as needed, assist other staff with reporting, debugging data accuracy issues, and other related functions.
REQUIREMENTS
Technical Knowledge and Skills
A minimum of three years of experience in a similar role.
University degree in the field of Computer Science or other technical equivalents.
Solid understanding of relational, non-relational, and multi-dimensional data models and systems.
Strong SQL experience in analysing, transforming, and integrating high volume, complex data sources with considerations for accuracy, efficiency, and performance.
Strong experience in design and development of custom ETL/ELT solutions for Enterprise Data Warehouse, using Microsoft SQL Server Tools and Services.
Experience in design and development of OLAP solutions, using SSAS, with working knowledge of DAX and MDX.
Experience with Microsoft SQL Server administration.
Knowledge of .Net Framework and experience programming in C# and/or Visual Basic .NET.
Strong experience with XML, XPath, JSON, and Web API.
Familiarity with Microsoft Azure services; Previous experience is a plus.
Familiarity with Big Data tools and distribution systems, such as Hadoop, Hive, and Spark.
Familiarity with BI and analytics visualisation tools, such as Power BI and Tableau.
Experience with visualisation, statistics, and machine learning is a plus.
General Skills and Abilities
Ability to solve problems using a balance of technical competence, creativity, and pragmatism.
Out-of-the-box thinking and excellent verbal and written communication skills.
Highly detail-oriented emphasising accuracy.
Ability to work independently and within a team, and effectively collaborate with development, operations, and business teams.
Highly-motivated, self-directed, and able to handle multiple tasks/projects simultaneously.
Experience working with Agile methodologies in small development teams as well as ability to multitask while working independently or on a team with shifting priorities and deadlines.
Good command of the English language.
Please send your application and cover letter in English .
30/07/2018
Full time
DESCRIPTION
We are looking for a Data Engineer with a background in business intelligence and data warehouse development to join our Data Architecture and Engineering team.
You will work on design and development of solutions for data collection, data warehousing, and processing large volumes of data.
To be successful in this role, you need to have strong SQL skills, good knowledge of data systems, experience of developing data processing pipelines, comfort dealing with complex technical problems, and the desire and ability to learn and get things done in a fast-paced environment.
Essential Job Functions
Perform data collection, data cleansing and integration, and data retrieval.
Design and develop highly scalable, end-to-end processes to consume, integrate, and analyse large volume and complex data from different data sources.
Design, implement, deploy, and maintain multi-terabyte, scalable, and sustainable enterprise data platform that supports a wide variety of data processing for business intelligence and analytics needs.
Build and integrate robust data processing pipelines for enterprise-level business analytics.
Employ strong engineering mind-set in design and development automated monitoring, alerting, and self-healing features.
Work in a collaborative environment—meetings, iterative development, and design and code review sessions.
Collaborate with Software Developers, Business Intelligence Engineers, and Data Scientists to ensure that requirements for integration, security, quality, and cross functional usage are addressed.
Follow enterprise data standards and participate in the definition and improvement.
Help resolve data issues, troubleshoot system problems, and as needed, assist other staff with reporting, debugging data accuracy issues, and other related functions.
REQUIREMENTS
Technical Knowledge and Skills
A minimum of three years of experience in a similar role.
University degree in the field of Computer Science or other technical equivalents.
Solid understanding of relational, non-relational, and multi-dimensional data models and systems.
Strong SQL experience in analysing, transforming, and integrating high volume, complex data sources with considerations for accuracy, efficiency, and performance.
Strong experience in design and development of custom ETL/ELT solutions for Enterprise Data Warehouse, using Microsoft SQL Server Tools and Services.
Experience in design and development of OLAP solutions, using SSAS, with working knowledge of DAX and MDX.
Experience with Microsoft SQL Server administration.
Knowledge of .Net Framework and experience programming in C# and/or Visual Basic .NET.
Strong experience with XML, XPath, JSON, and Web API.
Familiarity with Microsoft Azure services; Previous experience is a plus.
Familiarity with Big Data tools and distribution systems, such as Hadoop, Hive, and Spark.
Familiarity with BI and analytics visualisation tools, such as Power BI and Tableau.
Experience with visualisation, statistics, and machine learning is a plus.
General Skills and Abilities
Ability to solve problems using a balance of technical competence, creativity, and pragmatism.
Out-of-the-box thinking and excellent verbal and written communication skills.
Highly detail-oriented emphasising accuracy.
Ability to work independently and within a team, and effectively collaborate with development, operations, and business teams.
Highly-motivated, self-directed, and able to handle multiple tasks/projects simultaneously.
Experience working with Agile methodologies in small development teams as well as ability to multitask while working independently or on a team with shifting priorities and deadlines.
Good command of the English language.
Please send your application and cover letter in English .
Validity Labs is a leading provider of blockchain-based decentralized applications and based in Switzerland. Our journey started in 2015 with the Ethereum genesis block and we have since grown to a dedicated team of 18. Validity Labs is the technical partner for a range of blockchain startups, offering support and know-how in the areas of initial coin offerings (ICOs), tokenization and decentralized marketplaces. We develop customised smart contracts, build web interfaces and maintain a back-end management toolchain. We also work with large corporations such as insurance companies and fund managers on their first blockchain products.
Validity Labs can offer you a great team with extensive knowledge and expertise. In addition, you have the possibility to work on diverse, multidisciplinary blockchain projects in close cooperation with the client company. The fast-paced field of blockchain technology, including a multitude of top-notch projects in a rapidly evolving economy, are appealing aspects of this job opening. Moreover, you can choose to either work in our new office in Zug, Switzerland, or work from home. Besides, we offer our employees several perks and benefits, which you will not find in most companies.
We are committed to building a decentralized and inclusive new world economy and thereby contributing to the next industrial revolution. If you are into bold visions, working in uncharted waters and providing reliable high-quality projects, then this position is for you. You do not have to be a blockchain-professional just yet (we offer our trainee program for that), but an eagerness to acquire the necessary skills is required.
Responsibilities
You will be supporting a blockchain analytics project
Short-term internship, thesis, partial work from home possible
Skills & Requirements
- good knowledge of Python and SQL
- familiarity with the data science pipeline
- aptitude for researching new information and quickly grasping new concepts
- good interpersonal skills and the teamwork spirit
Nice-to-haves
- background in the Ethereum blockchain technology, machine learning and/or NLP
- knowledge of financial markets
Please submit your application online
30/07/2018
Internship
Validity Labs is a leading provider of blockchain-based decentralized applications and based in Switzerland. Our journey started in 2015 with the Ethereum genesis block and we have since grown to a dedicated team of 18. Validity Labs is the technical partner for a range of blockchain startups, offering support and know-how in the areas of initial coin offerings (ICOs), tokenization and decentralized marketplaces. We develop customised smart contracts, build web interfaces and maintain a back-end management toolchain. We also work with large corporations such as insurance companies and fund managers on their first blockchain products.
Validity Labs can offer you a great team with extensive knowledge and expertise. In addition, you have the possibility to work on diverse, multidisciplinary blockchain projects in close cooperation with the client company. The fast-paced field of blockchain technology, including a multitude of top-notch projects in a rapidly evolving economy, are appealing aspects of this job opening. Moreover, you can choose to either work in our new office in Zug, Switzerland, or work from home. Besides, we offer our employees several perks and benefits, which you will not find in most companies.
We are committed to building a decentralized and inclusive new world economy and thereby contributing to the next industrial revolution. If you are into bold visions, working in uncharted waters and providing reliable high-quality projects, then this position is for you. You do not have to be a blockchain-professional just yet (we offer our trainee program for that), but an eagerness to acquire the necessary skills is required.
Responsibilities
You will be supporting a blockchain analytics project
Short-term internship, thesis, partial work from home possible
Skills & Requirements
- good knowledge of Python and SQL
- familiarity with the data science pipeline
- aptitude for researching new information and quickly grasping new concepts
- good interpersonal skills and the teamwork spirit
Nice-to-haves
- background in the Ethereum blockchain technology, machine learning and/or NLP
- knowledge of financial markets
Please submit your application online
Im Jahr 1917 gegründet, zählt LEONI heute zu den führenden Unternehmen für Kabeltechnologie und verfügt über ein einzigartiges Produkt-, Technologie und Leistungsportfolio. Mehr als 81.000 hoch qualifizierte Mitarbeiter in 31 Ländern arbeiten gemeinsam daran, unsere führende Marktposition weltweit zu sichern und auszubauen. Digital Solutions Group – der Enabler und Gestalter unserer strategischen Ausrichtung als Lösungsanbieter im Bereich „Digital Business“: Wir machen aus Visionen Projekte, aus Projekten Business, und mit Business Erfolg. Wir setzen neue, digitale Impulse und bringen Intelligenz in unsere Lösungen, etablieren richtungweisende Technologien und Services und positionieren uns so als führender Partner unserer Kunden für sichere und innovative Energie- und Datenübertragung. Unsere Mission ist einzigartig – wie Sie! Zeigen Sie uns was Sie können als
Data Scientist (m/w)
Schweiz - SWI00000G
und gestalten Sie mit uns neue Wege. Wir haben eine Aufgabe, die Ihren Pioniergeist weckt, Ihren Wissensdurst stillt und Sie und uns weiterbringt. Helfen Sie mit im Aufbau und bei der Gestaltung der neuen Einheit „Simulation & Data Analytics“ an unserem Standort in Zürich.
Ihre Herausforderung
Sie unterstützen den Aufbau neuer, datengetriebener Geschäftsmodelle.
Sie wenden Machine-Learning-Methoden auf Fragestellungen der Leoni-Produktpalette an, z.B. Training von Klassifikatoren, Prädiktoren und Regressionsmodellen für physikalisch-technische Systeme.
Sie adaptieren und verfeinern die verwendeten Algorithmen und Modellstrukturen.
Sie unterstützen die Geschäftsbereiche in der Produktentwicklung und transferieren ihre Resultate.
Sie arbeiten eng mit internen und externen Partnern sowie Universitäten zusammen.
Sie tragen aktiv zum Aufbau der neuen Einheit „Simulation & Data Analytics“ bei und gestalten deren Dienstleistungsportfolio mit.
Ihre Qualifikationen
Sie verfügen über ein abgeschlossenes Masterstudium in Mathematik, Informatik, Nachrichtentechnik oder einer vergleichbaren Fachrichtung.
Sie haben sich bereits intensiv mit dem Themenkomplex Machine-Learning/Mustererkennung, Data Analytics bzw. statistischer Signalverarbeitung befasst.
Sie kennen sich mit gängigen Programmiersprachen wie z.B. Python oder Matlab aus.
Sie haben idealerweise Erfahrung im Bereich anwendungsbezogene Data Analytics oder Software- und Algorithmen-Design in einem industriellen Umfeld.
Sie sprechen fliessend Deutsch und Englisch.
Sie bringen Initiative und eine hohe Eigenmotivation mit, Begeisterung und Kreativität prägen Ihre Persönlichkeit.
Wir wollen den digitalen Wandel vorantreiben und innovative Lösungen erfolgreich auf dem Markt etablieren und zum Fliegen bringen. Und Sie? Beginnen Sie bei uns und verwirklichen Sie mit uns Ihre Ziele. Gestalten Sie Ihre Zukunft bei LEONI in einer Kultur, die Vielfalt und Innovation fördert, in einem Umfeld, das Ihnen durch Wissensaustausch, Flexibilität und Anerkennung neue Türen öffnet.
Und jetzt?
Bewerben! Und zwar online. Fragen rund um die Position beantwortet Ihnen gerne Adrian Zbinden, Human Resources, +41 (0)62 288 83 08.
26/07/2018
Full time
Im Jahr 1917 gegründet, zählt LEONI heute zu den führenden Unternehmen für Kabeltechnologie und verfügt über ein einzigartiges Produkt-, Technologie und Leistungsportfolio. Mehr als 81.000 hoch qualifizierte Mitarbeiter in 31 Ländern arbeiten gemeinsam daran, unsere führende Marktposition weltweit zu sichern und auszubauen. Digital Solutions Group – der Enabler und Gestalter unserer strategischen Ausrichtung als Lösungsanbieter im Bereich „Digital Business“: Wir machen aus Visionen Projekte, aus Projekten Business, und mit Business Erfolg. Wir setzen neue, digitale Impulse und bringen Intelligenz in unsere Lösungen, etablieren richtungweisende Technologien und Services und positionieren uns so als führender Partner unserer Kunden für sichere und innovative Energie- und Datenübertragung. Unsere Mission ist einzigartig – wie Sie! Zeigen Sie uns was Sie können als
Data Scientist (m/w)
Schweiz - SWI00000G
und gestalten Sie mit uns neue Wege. Wir haben eine Aufgabe, die Ihren Pioniergeist weckt, Ihren Wissensdurst stillt und Sie und uns weiterbringt. Helfen Sie mit im Aufbau und bei der Gestaltung der neuen Einheit „Simulation & Data Analytics“ an unserem Standort in Zürich.
Ihre Herausforderung
Sie unterstützen den Aufbau neuer, datengetriebener Geschäftsmodelle.
Sie wenden Machine-Learning-Methoden auf Fragestellungen der Leoni-Produktpalette an, z.B. Training von Klassifikatoren, Prädiktoren und Regressionsmodellen für physikalisch-technische Systeme.
Sie adaptieren und verfeinern die verwendeten Algorithmen und Modellstrukturen.
Sie unterstützen die Geschäftsbereiche in der Produktentwicklung und transferieren ihre Resultate.
Sie arbeiten eng mit internen und externen Partnern sowie Universitäten zusammen.
Sie tragen aktiv zum Aufbau der neuen Einheit „Simulation & Data Analytics“ bei und gestalten deren Dienstleistungsportfolio mit.
Ihre Qualifikationen
Sie verfügen über ein abgeschlossenes Masterstudium in Mathematik, Informatik, Nachrichtentechnik oder einer vergleichbaren Fachrichtung.
Sie haben sich bereits intensiv mit dem Themenkomplex Machine-Learning/Mustererkennung, Data Analytics bzw. statistischer Signalverarbeitung befasst.
Sie kennen sich mit gängigen Programmiersprachen wie z.B. Python oder Matlab aus.
Sie haben idealerweise Erfahrung im Bereich anwendungsbezogene Data Analytics oder Software- und Algorithmen-Design in einem industriellen Umfeld.
Sie sprechen fliessend Deutsch und Englisch.
Sie bringen Initiative und eine hohe Eigenmotivation mit, Begeisterung und Kreativität prägen Ihre Persönlichkeit.
Wir wollen den digitalen Wandel vorantreiben und innovative Lösungen erfolgreich auf dem Markt etablieren und zum Fliegen bringen. Und Sie? Beginnen Sie bei uns und verwirklichen Sie mit uns Ihre Ziele. Gestalten Sie Ihre Zukunft bei LEONI in einer Kultur, die Vielfalt und Innovation fördert, in einem Umfeld, das Ihnen durch Wissensaustausch, Flexibilität und Anerkennung neue Türen öffnet.
Und jetzt?
Bewerben! Und zwar online. Fragen rund um die Position beantwortet Ihnen gerne Adrian Zbinden, Human Resources, +41 (0)62 288 83 08.
Philip Morris International
Neuchâtel, Switzerland
UNLIMIT YOURSELF
Are you up for a challenge? Do you look for ways to grow in your job? And do you want to build a remarkable career? Then apply now! We’re currently looking for a:
Data Engineer With the following requirements:
University degree in Statistics, Computer Science, Applied Mathematics, Software Engineering, or any other technology related field
5+ years’ experience in Business Intelligence (BI) and data Science
Strong SQL, Python, Shell, Java, PHP, and .net programming skills
Experienced in the use of data preparation tools such as SSIS, Alteryx, Tableau Prep
Solid exposure and mastery of key processes in technology delivery
Ability to cooperate in cross-functional international project teams
Quick learner with a pragmatic, analytical and autonomous mindset
Strong problem solving and organizational capabilities coupled with proven leadership skills
Demonstrated ability to communicate, present and influence credibly and effectively at all levels of the organization
Strong reputation in engaging in proactive behavior and seizing opportunities
Fluent English is a must
If you possess the above mentioned profile then you are the one we want to meet for staffing our Product & Competitive Intelligence team at Philip Morris Products S.A. , based in Neuchâtel, Switzerland.
The objective of Philip Morris International Inc (PMI)’s team is to develop and assess products with the potential to reduce the risks of smoking-related diseases. This project is at the core of our business: our aim is that one day all adult smokers who otherwise wouldn’t quit will switch to what we call reduced-risk products, or RRPs*. Get to know more about us on www.PMIScience.com .
You are highly motivated and are ready to work autonomously within a dynamic and international work environment. You are always committed to deliver work of the highest quality and are comfortable handling multiple priorities with meaningful timeliness whilst maintaining a high level of productivity. As a Data Engineer you will lead, develop, maintain and provide data flow principles for the assigned domain (i.e. Consumers, Devices, Manufacturers and Competitors).
Specific responsibilities :
Design, implement and manage the process to maintain currency of the respective domain Data Flow ensuring alignment with company standards and environment
Set standards and patterns that can be leveraged across multiple landscapes, in alignment with the overall architectural vision and direction
Analyze, plan, lead and manage the domain specific data release and upgrade strategy; update documentation and periodically publish the respective data roadmaps
Develop, build and maintain a strong knowledge of each data layer and cross-layer matter (security & risk, quality of service, service management, etc.) to ensure consistency and cohesion within the data architecture map
Acts as a single point of responsibility for domain specific data acquisition and integration projects and tasks
Monitor, challenge and correct data to ensure the highest level of quality
Implement predictive models based on business driven algorithms
Why work for us? Here are 3 reasons PMI is the ultimate Employer:
We’re international: you work with clients and learn on-the-job from team members from all over the world;
We’re flexible: your work fits you and not the other way round, thanks to our Flexible Work Arrangement Program; and
We’re a certified top employer: we consider our employees to be our strongest asset, and we are developing talent throughout all levels of the organization.
As the first multinational company in Switzerland to obtain the Equal-Salary label, for men and women, our competitive salary and compensation package is for all our employees.
JOIN A GLOBAL MARKET LEADER
If you wish to contribute to the future of our business and to the new scientific journey of the industry, please apply online. PMI is the world’s leading international tobacco company, with six of the world's top 15 international brands and products sold in more than 180 markets. In addition to the manufacture and sale of cigarettes, including the number one global cigarette brand, and other tobacco products, PMI is engaged in the development and commercialization of Reduced-Risk Products (“RRPs”). *RRPs is the term we use to refer to products that present, are likely to present, or have the potential to present less risk of harm to smokers who switch to these products versus continued smoking. We have a range of RRPs in various stages of development, scientific assessment and commercialization. Because our RRPs do not burn tobacco, they produce far lower quantities of harmful and potentially harmful compounds than found in cigarette smoke. For more information, see www.pmi.com and www.pmiscience.com .
PMI is an Equal Opportunity Employer.
A valid Swiss work permit or Swiss or EU-25/EFTA citizenship is required for this position.
PMI affiliates do not accept referrals from employment agencies in respect of the vacancies posted on this site. Should an employment agency take any action in respect of such a vacancy, their actions will have been taken without the request or agreement of any PMI affiliate. No PMI affiliate shall be liable for any fees in such circumstances.
26/07/2018
Full time
UNLIMIT YOURSELF
Are you up for a challenge? Do you look for ways to grow in your job? And do you want to build a remarkable career? Then apply now! We’re currently looking for a:
Data Engineer With the following requirements:
University degree in Statistics, Computer Science, Applied Mathematics, Software Engineering, or any other technology related field
5+ years’ experience in Business Intelligence (BI) and data Science
Strong SQL, Python, Shell, Java, PHP, and .net programming skills
Experienced in the use of data preparation tools such as SSIS, Alteryx, Tableau Prep
Solid exposure and mastery of key processes in technology delivery
Ability to cooperate in cross-functional international project teams
Quick learner with a pragmatic, analytical and autonomous mindset
Strong problem solving and organizational capabilities coupled with proven leadership skills
Demonstrated ability to communicate, present and influence credibly and effectively at all levels of the organization
Strong reputation in engaging in proactive behavior and seizing opportunities
Fluent English is a must
If you possess the above mentioned profile then you are the one we want to meet for staffing our Product & Competitive Intelligence team at Philip Morris Products S.A. , based in Neuchâtel, Switzerland.
The objective of Philip Morris International Inc (PMI)’s team is to develop and assess products with the potential to reduce the risks of smoking-related diseases. This project is at the core of our business: our aim is that one day all adult smokers who otherwise wouldn’t quit will switch to what we call reduced-risk products, or RRPs*. Get to know more about us on www.PMIScience.com .
You are highly motivated and are ready to work autonomously within a dynamic and international work environment. You are always committed to deliver work of the highest quality and are comfortable handling multiple priorities with meaningful timeliness whilst maintaining a high level of productivity. As a Data Engineer you will lead, develop, maintain and provide data flow principles for the assigned domain (i.e. Consumers, Devices, Manufacturers and Competitors).
Specific responsibilities :
Design, implement and manage the process to maintain currency of the respective domain Data Flow ensuring alignment with company standards and environment
Set standards and patterns that can be leveraged across multiple landscapes, in alignment with the overall architectural vision and direction
Analyze, plan, lead and manage the domain specific data release and upgrade strategy; update documentation and periodically publish the respective data roadmaps
Develop, build and maintain a strong knowledge of each data layer and cross-layer matter (security & risk, quality of service, service management, etc.) to ensure consistency and cohesion within the data architecture map
Acts as a single point of responsibility for domain specific data acquisition and integration projects and tasks
Monitor, challenge and correct data to ensure the highest level of quality
Implement predictive models based on business driven algorithms
Why work for us? Here are 3 reasons PMI is the ultimate Employer:
We’re international: you work with clients and learn on-the-job from team members from all over the world;
We’re flexible: your work fits you and not the other way round, thanks to our Flexible Work Arrangement Program; and
We’re a certified top employer: we consider our employees to be our strongest asset, and we are developing talent throughout all levels of the organization.
As the first multinational company in Switzerland to obtain the Equal-Salary label, for men and women, our competitive salary and compensation package is for all our employees.
JOIN A GLOBAL MARKET LEADER
If you wish to contribute to the future of our business and to the new scientific journey of the industry, please apply online. PMI is the world’s leading international tobacco company, with six of the world's top 15 international brands and products sold in more than 180 markets. In addition to the manufacture and sale of cigarettes, including the number one global cigarette brand, and other tobacco products, PMI is engaged in the development and commercialization of Reduced-Risk Products (“RRPs”). *RRPs is the term we use to refer to products that present, are likely to present, or have the potential to present less risk of harm to smokers who switch to these products versus continued smoking. We have a range of RRPs in various stages of development, scientific assessment and commercialization. Because our RRPs do not burn tobacco, they produce far lower quantities of harmful and potentially harmful compounds than found in cigarette smoke. For more information, see www.pmi.com and www.pmiscience.com .
PMI is an Equal Opportunity Employer.
A valid Swiss work permit or Swiss or EU-25/EFTA citizenship is required for this position.
PMI affiliates do not accept referrals from employment agencies in respect of the vacancies posted on this site. Should an employment agency take any action in respect of such a vacancy, their actions will have been taken without the request or agreement of any PMI affiliate. No PMI affiliate shall be liable for any fees in such circumstances.
We are looking to hire a Data Scientist Market Research to be a part of our Commercial Department for Philip Morris International Management S.A., and based in our global headquarters in Lausanne, Switzerland.
In collaboration with the Director Market Research Analytics and Manager Market Research Analytics, you will be responsible for assisting in global analytics projects using internal data mining / processing platforms as well as using machine learning approaches for predictive and prescriptive modeling.
You will make use of reporting platforms like Tableau to create dashboards as well as support the Analytics team to answer senior management queries.
By working on predictive analytics for our markets, you will be able to have a real impact on the commercial strategy of the company, create and improve data science models, compare your predicted results with real-life results and be in touch with the stakeholder and engage with the business.
Key responsibilities:
Support the Manager Market Research Analytics in performing day-to-day analytics, which include the below key areas:
Global consumer tracking reporting and analytics platform management – this would include liaising with external vendors as well as with internal stakeholders, analyzing regional and global trends, connecting the tracking data with other data sources (e.g. Brand Equity data, volumes data) etc.
Using machine learning algorithms to develop models that help answer ever changing business needs – this includes developing predictive models (at times in liaison with our data science teams) as well as finding relevant patterns and connections in existing data
Connecting dots using Global Tracking data, Retail Audit data and In-market- sales data • Assist the teams with analytics support during the annual development of global commercial strategy
Required skills:
Bachelor or Master’s degree (preferably) in Data Science / Statistics
Proficient in modeling using machine learning algorithms in R/ Python environment.
At least 5 years working in a client side / agency side (business analytics solutions) environment. It is highly preferred that you should have worked on at least a few Big Data analytics projects and have a solid understanding of structured and unstructured data coming from market research surveys (quantitative and qualitative) as well as from other internal sources (e.g. CRM)
Proficient in use of reporting tools including but not limited to Tableau
Should have handled large-scale databases. Experience in migration of traditionally stored data in a scattered manner to a consolidated Data Ocean / lake would be an added advantage
Fluent spoken and written English a must.
PMI is the world’s leading international tobacco company, with six of the world's top 15 international brands and products sold in more than 180 markets. In addition to the manufacture and sale of cigarettes, including the number one global cigarette brand, and other tobacco products, PMI is engaged in the development and commercialization of Reduced-Risk Products (“RRPs”). RRPs is the term we use to refer to products that present, are likely to present, or have the potential to present less risk of harm to smokers who switch to these products versus continued smoking. We have a range of RRPs in various stages of development, scientific assessment and commercialization. Because our RRPs do not burn tobacco, they produce far lower quantities of harmful and potentially harmful compounds than found in cigarette smoke. For more information, see www.pmi.com and www.pmiscience.com .
PMI is an Equal Opportunity Employer.
As with many countries, Switzerland has immigration restrictions which will impact the possibility for non-nationals to work in the country. Profiles required for this position may not being specific enough to justify the recruitment of a person outside of Switzerland or countries having agreed upon free movement with Switzerland, please note that in this case a valid Swiss work permit or Swiss or EU-25/EFTA citizenship is required to apply for this position.
26/07/2018
Full time
We are looking to hire a Data Scientist Market Research to be a part of our Commercial Department for Philip Morris International Management S.A., and based in our global headquarters in Lausanne, Switzerland.
In collaboration with the Director Market Research Analytics and Manager Market Research Analytics, you will be responsible for assisting in global analytics projects using internal data mining / processing platforms as well as using machine learning approaches for predictive and prescriptive modeling.
You will make use of reporting platforms like Tableau to create dashboards as well as support the Analytics team to answer senior management queries.
By working on predictive analytics for our markets, you will be able to have a real impact on the commercial strategy of the company, create and improve data science models, compare your predicted results with real-life results and be in touch with the stakeholder and engage with the business.
Key responsibilities:
Support the Manager Market Research Analytics in performing day-to-day analytics, which include the below key areas:
Global consumer tracking reporting and analytics platform management – this would include liaising with external vendors as well as with internal stakeholders, analyzing regional and global trends, connecting the tracking data with other data sources (e.g. Brand Equity data, volumes data) etc.
Using machine learning algorithms to develop models that help answer ever changing business needs – this includes developing predictive models (at times in liaison with our data science teams) as well as finding relevant patterns and connections in existing data
Connecting dots using Global Tracking data, Retail Audit data and In-market- sales data • Assist the teams with analytics support during the annual development of global commercial strategy
Required skills:
Bachelor or Master’s degree (preferably) in Data Science / Statistics
Proficient in modeling using machine learning algorithms in R/ Python environment.
At least 5 years working in a client side / agency side (business analytics solutions) environment. It is highly preferred that you should have worked on at least a few Big Data analytics projects and have a solid understanding of structured and unstructured data coming from market research surveys (quantitative and qualitative) as well as from other internal sources (e.g. CRM)
Proficient in use of reporting tools including but not limited to Tableau
Should have handled large-scale databases. Experience in migration of traditionally stored data in a scattered manner to a consolidated Data Ocean / lake would be an added advantage
Fluent spoken and written English a must.
PMI is the world’s leading international tobacco company, with six of the world's top 15 international brands and products sold in more than 180 markets. In addition to the manufacture and sale of cigarettes, including the number one global cigarette brand, and other tobacco products, PMI is engaged in the development and commercialization of Reduced-Risk Products (“RRPs”). RRPs is the term we use to refer to products that present, are likely to present, or have the potential to present less risk of harm to smokers who switch to these products versus continued smoking. We have a range of RRPs in various stages of development, scientific assessment and commercialization. Because our RRPs do not burn tobacco, they produce far lower quantities of harmful and potentially harmful compounds than found in cigarette smoke. For more information, see www.pmi.com and www.pmiscience.com .
PMI is an Equal Opportunity Employer.
As with many countries, Switzerland has immigration restrictions which will impact the possibility for non-nationals to work in the country. Profiles required for this position may not being specific enough to justify the recruitment of a person outside of Switzerland or countries having agreed upon free movement with Switzerland, please note that in this case a valid Swiss work permit or Swiss or EU-25/EFTA citizenship is required to apply for this position.
