Our team at the BMW Group supports the Sales Organization with data-driven solutions in financial controlling. We focus on integrating Data Engineering, Business Intelligence and Machine Learning to empower fast, fact-based decisions during your internship.
What awaits you?
- You will support integrating, cleaning and migrating data sources for analytics and reporting.
- Furthermore, you help to document and assure the quality of data for our solutions.
- In addition, you contribute to developing and operating data and analytics use cases.
- Moreover, you will liaise with business partners to align business needs with technical implementation.
- You will also help to integrate and visualize results in SAP Analytics Cloud.
What should you bring along?
- Studies in computer science, data science, business administration, finance or a related field.
- Good understanding of relational databases.
- Practical experience with AWS Cloud Services, scripting (preferably JavaScript) and programming in a data engineering context (Python, R, SQL).
- Preferably working knowledge of business intelligence visualization tools (ideally SAP Analytics Cloud or Qlik Sense).
- First experience in implementing analytics and AI solutions.
- Good English skills; German is a plus.
Would you like to support our team in shaping data-driven solutions for financial controlling? Then apply now!
What do we offer?
- Comprehensive mentoring & onboarding.
- Personal & professional development.
- Flexible working hours.
- Mobile work.
- Attractive & fair compensation.
- Apartments for students (subject to availability & only at the Munich location).
- And much more, see bmw.jobs/whatweoffer
Start date: 03/16/2026
Duration: 6 months
Working hours: Full-time
Do you have questions? Then submit your inquiry easily via our contact form. Your inquiry will be answered by phone or email afterwards.
We at the BMW Group place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experiences, and skills of the applicants. More about this here.