Working Student – Data Analytics

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

📋 Description

• You will assist the team with data modeling, implement ETL processes, and contribute to the development of initial BI components.

• You will help in linking primary systems to our company data warehouse.

• You will engage in exciting projects, including the enhancement of our existing data warehouse and the integration of new subsidiaries.

• You will prepare, clean, and transform data (ETL) while ensuring reliable data processes.

• You will evaluate new BI components, verify analysis results, and document your findings in a clear and transparent manner.

⛳️ Requirements

• You are currently enrolled in a master's program—preferably in Business Informatics, Computer Science, Data Science, or a related field—and are available to work up to 20 hours each week.

• You possess foundational knowledge of ETL, SQL, and data modeling and are eager to enhance these skills through real-world projects.

• You have strong analytical skills and enjoy working systematically with large, complex datasets.

• You are passionate about business intelligence and data integration projects, whether involving data pipelines, data warehouses, or reporting.

• Ideally, you have some experience with Power BI and data integration tools such as Talend or similar software.

🏝️ Benefits

• A supportive start: a dedicated buddy will be with you to ensure you feel at ease from your first day.

• We invest in your potential: take advantage of the MAIT Academy, external training opportunities, and personalized development aligned with your career goals.

• Shared events: our summer party and company runs enhance our team spirit and promote a culture of openness, innovation, and true collaboration.

• Benefit boost for daily life: enjoy referral bonuses, exclusive shopping discounts, and fitness offers available at MAIT.

• Diversity strengthens us: at MAIT, we warmly welcome individuals from all backgrounds, religions, identities, sexual orientations, ages, disabilities, and personal narratives.