Working Student – Data Analytics
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Job Description
Werkstudent in Data Analytics role supporting data modeling and ETL processes in a dynamic company setting. Involvement in projects enhancing data warehouse and analytics capabilities.
Responsibilities:
- You will support the team with data modeling and the implementation of ETL processes, as well as the development of initial BI components
- You will assist in connecting primary systems to our company data warehouse
- You will be part of exciting projects, such as further developing our existing data warehouse or integrating new subsidiaries
- You will prepare, clean, and transform data (ETL) and ensure stable data processes
- You will test new BI components, validate analysis results, and document your findings clearly and transparently.
Requirements:
- You are enrolled in a master's program—ideally in Business Informatics, Computer Science, Data Science, or a comparable field—and are available to contribute up to 20 hours per week
- You already have basic knowledge of ETL, SQL, and data modeling and want to further develop these skills in real projects
- You have strong analytical abilities and enjoy working in a structured way with large, complex datasets
- You are enthusiastic about business intelligence and data integration projects—whether data pipelines, data warehouses, or reporting
- Ideally, you already have some experience with Power BI and data integration tools like Talend or similar tools.
Benefits:
- A supportive start: a dedicated buddy will be by your side so you feel comfortable from day one
- We invest in your potential: benefit from the MAIT Academy, external training, and individualized development tailored to your career path
- Shared events: our summer party and company runs strengthen our team spirit and foster a culture of openness, innovation, and genuine teamwork
- Benefit boost for everyday life: referral bonuses, exclusive shopping discounts, and fitness offers await you at MAIT
- Diversity makes us stronger: at MAIT we warmly welcome people of every background, religion, identity, sexual orientation, age, disability, and personal story.
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