Support daily operations and contribute to long-term improvements in our global processes.
Prepare and send out weekly/monthly communication: Update data, ensure timely delivery, and secure consistency across decks.
Ensure reporting updates: Update and validate data cubes and E1 tables (e.g., refresh of OTIF report and Lot Tracker).
Optimize slide generation processes: Identify opportunities to streamline formatting, templates, and data feeds.
Optimize existing Excel models: Improve functionality, performance, and usability of key tools.
Support various projects through data analysis: Contribute with analytical support, error detecting, and data correcting.
Support raw material forecast generation: Extract, validate and present data for selected suppliers.
Power BI Development: Redesign of existing dashboards.

Be enrolled in a bachelor’s or master’s degree within Supply Chain Management, Data Science, Machine Learning, Data Engineering, Business Economics, or a related field.
Having strong Excel skills.
Experience with Power BI or other visualization tools.
Possess solid analytical and problem-solving skills with attention to detail.
Be comfortable working with large datasets and transforming data into meaningful insights.
Write and speak English fluently.
Show an open-minded, proactive, and collaborative attitude with a willingness to take ownership.

Work in a global organization where your contributions directly support better health outcomes for people worldwide.
Gain hands-on experience in analytics and supply chain performance by using advanced systems like Enterprise One (oracle), OMP+ and Power BI.
Be part of an international, high-performing team of dedicated colleagues who value knowledge-sharing and teamwork.
Enjoy the flexibility of a part-time student assistant position (15–20 hours per week), allowing you to balance work with your studies.
Build valuable skills and insights that can serve as a strong foundation for a future career in supply chain, business analytics, or operations.

Junior Assistant – Global Supply Chain Analytics

Key skills