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Working Student Product Management – f/m/x
SPARETECHWerkstudent im Produktmanagement bei SPARETECH, unterstützt Datenaufbereitung und -analyse in Stuttgart oder München. Rolle fördert innovative Ansätze im industriellen Ersatzteilmanagement.
About the role
Key responsibilities & impact- Support data preparation and validation for AI use cases
- Assist with data cleaning and structuring for AI applications
- Support post-processing of AI outputs (e.g., validation, clustering, annotation)
- Support discovery and analysis
- Assist in preparing and analyzing data for discovery phases
- Summarize findings from user interviews, market analyses, or internal metrics
- Research and develop new concepts
- Prepare summaries and insights to support decision-making in discovery
- Contribute to feature testing and quality assurance
- Perform manual tests for new features
- Document edge cases and unexpected behavior to support QA and product improvements
- Maintain and improve internal product documentation
- Document and keep features and processes up to date
Requirements
What you’ll need- Currently studying Business Informatics, Industrial Engineering, Business Administration, or a comparable field
- Bring analytical thinking, initiative, and authenticity
- Are curious and eager to dive deep into spare parts management and MRO
- Have an interest in data analytics, enjoy working with data, deriving insights, and possess a basic understanding of statistics
- Are available 15–20 hours per week at our Stuttgart or Munich location
- Fluent in German and English
Benefits
Comp & perks- A permanent employment contract
- The opportunity to continue working with us after graduation
- In Germany: a Wellpass membership to stay fit
- A dynamic start-up atmosphere and an international team where new ideas, creative approaches, and collaboration at eye level are highly valued and encouraged
- Access to Corporate Benefits with attractive discounts on a wide range of products
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data preparationdata validationdata cleaningdata structuringdata analysisfeature testingquality assurancemanual testingstatistical analysis
Soft Skills
analytical thinkinginitiativeauthenticitycuriosityeagerness to learn