Werkstudent – Data Analytics

This is a fully remote position, open to applicants in Germany.

📋 Description

• You will assist the team in data modeling and the implementation of ETL processes, as well as in developing initial BI components.

• You will support the integration of primary systems into our proprietary Data Warehouse.

• You will be involved in exciting projects, such as the further development of our existing Data Warehouse or the integration of new companies.

• You will manage the preparation, cleansing, and transformation of data (ETL) and ensure stable data processes.

• You will test new BI components, validate analysis results, and document your findings clearly and understandably.

⛳️ Requirements

• You are currently pursuing a Master's degree—ideally in Business Informatics, Computer Science, Data Science, or a comparable field of study.

• You already possess basic knowledge in ETL, SQL, and data modeling, and are eager to expand these skills through real projects.

• You have strong analytical abilities and enjoy working in a structured manner with large, complex datasets.

• You are enthusiastic about Business Intelligence and data integration projects—whether it involves data pipelines, Data Warehousing, or reporting.

• Ideally, you have some initial experience with Power BI and data integration tools like Talend or similar tools.

🏝️ Benefits

• A supportive entry: Your buddy will be there to help you feel at home from day one.

• We invest in your potential: Benefit from the MAIT Academy, external training opportunities, and individualized support tailored to your career path.

• Team events: Our summer festival or company runs strengthen our cohesion and foster a culture of openness, innovation, and genuine teamwork.

• Benefit boost for your daily life: Incentives for referrals, exclusive shopping discounts, and fitness benefits await you at MAIT.

• Diversity makes us stronger: At MAIT, we warmly welcome individuals of all backgrounds, religions, identities, sexual orientations, age groups, disabilities, and personal stories.