We are looking for a working student to support our team in handling, structuring, and maintaining data across different sources as well as collaborating with internal teams to ensure data is usable and reliable.

This position offers hands-on experience with large datasets and provides exposure to data-related processes within a supply chain environment.

Prepare and consolidate data from different sources into a structured database under supervision

Maintain dashboards and reports to present analytical information and insights on a regular basis, working independently

Support the creation of data models and the development of required data structures under supervision

Develop and maintain internal documentation for data processes and reports, partly independently

Collaborate with supply chain teams to understand data requirements and support the development of fit-for-purpose solutions under supervision

Support the evaluation of end-to-end supply chain technology solutions under supervision.

Your Profile:

Currently enrolled in a university program

Basic understanding of data handling and analysis

Familiarity with tools such as Excel; knowledge of SQL, Python, or BI tools is a plus

Structured and detail-oriented way of working

Good communication skills and ability to work in a team

Advanced English language skills

Practical experience working with large datasets (e.g. inventory and delivery performance data)

Insight into data processes and collaboration across teams

Opportunity to develop skills relevant for future roles in data and supply chain

Start: As of Now

Duration: 6 to 12 Months

Working time: approx. 20 hours per week

Location: Hybrid / Bad Homburg

In addition to your CV, please upload your certificate of enrollment and a
cover letter.
If you declare a severe disability, please submit corresponding proof with
your application.