2 jobs found in Canton Of Zug

At our headquarters in Baar, we are seeking for the breastfeeding / healthcare / operations business unit the Global Data Analyst (m/w) 100% Your responsibilities Gather and organize quality data as appropriate to support the quality decisions and for Q&R reporting of site data Develop and automate data analysis system for Q&R reporting (e.g. dashboards) Conduct exploratory data analyses (EDA) using statistical methods to identify potential trends & insights from data and reports insights to appropriate functions across the site; monitors quality metrics as appropriate for evidence of special cause of variation Facilitate development and maintenance of Q&R data governance procedures with local Quality Management, with a view to ensure compliance of the site. Lead continuous metric improvement efforts and give suggestions for new metrics or Q&R KPIs Support other functions, corporate projects and initiatives where statistical data analysis is needed Advise development and change to digital solutions impacting quality data for continuity of data integrity, reporting, and dashboard Organize and perform trainings within the site on the subject matter CAPA task owner Your qualifications College or University degree in Applied Statistics, Engineering, Computer Science, Math or related Experience with statistical techniques including e.g. data collection, sampling, statistical testing, correlation, regression, ANOVA, time series analysis, survival analysis parametric and non-parametric data, design of experiments and data visualization needed. Experience with data analysis tools such as R, Python, Minitab, Qlik preferred Minimum 2 year experience in MedTech or life sciences with complaint handling, data analysis and computer system validation preferred Experience working in an environment with global objectives preferred Excellent verbal and written communication skills Fluency in German and English both orally and in writing ( C1 level) Knowledge of ISO 13485, ISO 14971, EU MDR, and 21 CFR 820 preferred Strong analytical and deductive reasoning Applies principles of logical thinking to solve practical problems Your opportunity At Medela, you will be joining a global community of colleagues, united by the purpose that drives our business: helping people. Medela exists to advance human health and wellbeing through knowledge-based and innovative human milk and medical vacuum solutions. Our employees are empowered to serve this purpose in a family-owned company that is growing rapidly around the world. We value intensive exchanges, diverse perspectives, and unbureaucratic decisions. You will have the opportunity to develop at an international level, and witness the direct impact your work has on our company’s success. If you are interested in this opportunity, Sabine Zuch, HR Business Partner, is looking forward to receiving your application. For this position we only consider direct applications - thank you for your understanding.

Tensor Technologies is looking for an experienced C++ Software Engineer to join our growing team. We are a young and successful proprietary trading firm in the heart of Switzerland. We build next-generation trading strategies and systems using applied machine learning techniques and cutting-edge technology. Leveraging our fully automated setup, we trade different financial assets on various electronic exchanges around the world. As a C++ Software Engineer, you‘ll be joining and shaping the future of our core engineering team. You will design, code, test, and optimize our proprietary, low-latency trading system. You will develop a deep understanding of trading and exchanges, and will be able to have a direct impact on our trading strategies by collaborating with our traders and quantitative analysts. You’re not attached to tools and technologies, but you focus on solving problems, bring clarity to complexity, and demonstrate smart ways to simplify our trading ecosystem. The right candidate for this role will be comfortable working autonomously, making decisions, and working in a fast-paced, flat team structure. Your main responsibilities Develop a highly competitive, ultra-low-latency trading platform consisting of market data delivery and order submission subsystems Bring new trading ideas and approaches to life, while working very closely with researchers and traders and making sure that the trading code fulfills high production standards Improve the system performance by optimizing network access, hardware utilization, and programming execution Stay on top of changes in exchange protocols Job Requirements You have a Master’s or Ph.D. degree in Computer Science, Mathematics, Physics or a related field You have excellent programming skills using C++ in a Linux (or Unix-like) environment You possess the ability and desire to write simple, well-structured and clean code that is easy to maintain You have in-depth knowledge of low-level network and system programming and have ideally experience in developing low-latency systems You have a solid grasp of computer science, algorithms, memory-, and concurrency models, CPU-architecture, operating systems, networks, relational databases, performance optimization, etc. Experience in statistics / large-scale data processing systems/machine learning and/or grid-based computing is a big plus No finance background is necessary or expected. This is a great opportunity for the right candidate to kick start a career in the financial technology space. What we offer You get the unique opportunity to join a team small enough so that the individual contribution crucially matters yet big enough to compete for the best talent globally You will be a key stakeholder in evolving our business You will be able to partner with a very international team of experienced professionals in a dynamic environment that encourages continuous learning You will be able to grow fast and take on more responsibility while further developing your skills We are committed to applying the newest technology in all areas to stay ahead of our competition We work in an extremely fast-paced environment where we all rely on quick and honest feedback Attractive office locations in both Zug and Zurich We look forward to getting to know you!