Head of Business Intelligence

  • MOVU
  • Zürich, Switzerland
  • 19/10/2018
Full time Data Science Data Engineering Data Analytics Business Intelligence Data Management Statistics Software Engineering

Job Description

In your new role, you will:

  • Be responsible for data integration, ETL processes, the DWH, dashboards and reporting
  • Pay meticulous attention to data quality and reliability
  • Provide accurate and insightful data analyses for different teams and explain and interpret your findings to them
  • You will work closely with different stakeholders to implement first-rate reporting solutions and develop expert knowledge into our many business processes
  • You will have the opportunity to use state-of-the-art Business Intelligence tools to generate insights

What we need from you:

  • You have completed your studies in IT, natural sciences or a similar field
  • You have relevant working experience in the fields of business intelligence or data science
  • You have experience in ETL processes, DWHs, data models, dashboards and reports
  • You like to work with Open Source (Linux, Bash, Python, Jenkins, MySQL, Postgres) but you also value commercial solutions (Tableau)
  • You love to integrate new data sources; you have experience with related tools (Pentaho or Talend) and data sources (APIs, Mandrill, Google Analytics, etc.)
  • You document the core concepts of your found solutions (Wiki/Confluence), and you keep your scripts and programming under version control (Git)
  • You acquired knowledge in Web Analytic tools (e.g., Google Analytics) and know how to analyze the data
  • You like to communicate, work in a team and have a hands-on mentality
  • You have very good English skills

What do we offer:

  • An exciting position, with a lot of responsibility and space for your input
  • Flat hierarchies
  • Work in a modern, spacious office in the heart of Zurich
  • Competitive compensation

Are you up for a challenge? Please submit your complete application to hannes@movu.ch including your earliest starting date.