Data Analyst Engineer

Data Analyst Engineer

Experis IT is Europe's leading IT recruitment agency. With operations in over 50 countries and offices in Zurich, Basel, Geneva and Lausanne, we will leverage our extensive client network to help you accelerate your career in Switzerland.

For one of our clients, specialized in the pharmaceutical area with HQ in Basel, we are looking for a Data Analyst Engineer. This is a challenging contracting position starting as soon as possible for 12-months initially.

General Information:

• Start date: 01.07.2021.
• End date: 06.2022
• Extension: possible
• Work location: Zug
• Workload: 100%
• Remote/Home Office: during Covid only

Tasks & Responsibilities:

• Develop and implement data collection systems and develop and monitor KPI's to support the production teams to strategically steer and continuously optimize quality improvement initiatives.
• Acquire data from primary and secondary (internal and external) sources and maintain a data warehouse. Optimize statistical efficiency and data quality in close collaboration with the Data Scientists as well as the production teams.
• Provide data analytics as a service and be a key participant in the manufacturing problem-solving process to ensure fact based and data driven decision-making.

Must Haves:

• Minimum a Bachelor in Statistics, Mathematics, Computer Science or Data Science. Graduates can also apply for this position as they have experience in the fields mentioned
• At least 2 years worked as a Data Engineer/Scientist or a similar position in IVD
• Advanced programming skills (SQL, R, Shiny )
• Technical skills with data models, database design, data mining and segmentation techniques and experience using statistical packages
• Experience in communication with interfaces/stakeholder (customer centricity)
• German minimum C1 / English fluent in written and spoken
• Strong analytical skills with the ability to collect, analyze and disseminate significant amounts of information with attention to detail and accuracy in big data sets

Nice to Haves:

• Ability to be proactive and take responsibility.
• Pharma/Biotech experience
• Understanding of manufacturing processes