Data models: Collaborate with the team to create data models and reports.
Data Visualization: Design and implement user-friendly interfaces for data visualization
Data-driven analysis: Provide data-driven analysis to prepare for decision making.
Project planning: Support a companywide project to restructure planning landscape
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βYour Profile
βQualifications and skills to help you succeed:
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Education: Degree in Technical Engineering, Business or similar, with a focus on Supply chain as a plus
Data Handling: Proficiency in Excel and SQL, confidence in handling data and creating structured outputs
Programming: Experience with Power Pivot, Python and linear optimization are beneficial
Problem solving: Ability to communicate, learn quickly and present solutions clearly
Languages: Fluency in English, with good understanding of German
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Please attach the following documents to your application:
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CV in English
Certificate of enrollment at university
Latest grades transcript (not older than 6 months)
High school report
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Important information:
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Working part-time: The focus is on studies. Thatβs why working as a student employee during lecture period is limited to a maximum of 20 hours per week.
Proper students (according to the German law) are welcome: To work as a student employee with us, you must be enrolled at a university and not have completed all of your exams or modules for your degree programme. You must not be in a semester of leave. We look forward to welcoming you to our team for at least 9 months.
You should live close to the site: For good collaboration, it is important to us that you can come to the office regularly to integrate to the team.