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BMW Group Digital Logistics Planning Intern 2026

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Success is teamwork. Only when experts share their expertise and enthusiasm does a workflow emerge in which ideas flow. BMW Group call this a culture of innovation, that's why they give students not only the opportunity to listen, but above all, to participate in discussions and contribute their own ideas.

What can you expect?

  • A vibrant and exciting work environment in the logistics sector with modern data and analytics technologies 
  • Support in the identification, analysis and optimization of logistics processes (value streams) through database analysis, process mining and business intelligence. 
  • Contributing to the design and implementation of dashboards and data analyses for process improvement.
  • Independent handling of sub-projects – from data collection to the presentation of results.
  • An opportunity to make a concrete contribution to the data-driven design of future logistics processes. Insights into related topics such as automation, digitalization, and innovation management. 

Table of Content

Summary

  • Application DeadlineNot Specified
  • Study LevelInternship
  • SponsorBMW Group
  • Eligible CountryAll Countries
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Benefits

  • Exciting and varied work in an international team.
  • Flexible working hours and the option to work from home.
  • Daily selection of vegetarian, international and regional menus in the company restaurant.
  • Excellent public transport connections.
  • In-house fitness center and numerous in-house sports classes (e.g. yoga, strength training).

The gross monthly salary for this internship position is EUR 2,747.

Requirements

  • Currently enrolled in a university or university of applied sciences program with a focus on logistics management, business informatics, data science or a comparable course of study. 
  • Basic understanding of business processes and interest in data-driven analyses and planning based on them.
  • Prior experience with analytical tools (e.g., APEX, Power BI, Tableau, Quicksite, Celonis or similar tools) is advantageous.
  • Basic knowledge of databases, understanding of data types and SQL. 
  • Analytical and structured working style, as well as enjoyment in understanding and visualizing complex relationships.
  • Interest in digital technologies and innovation processes. 

Check also:
2026 Fully Funded Humboldt Research Fellowship
2026 Konrad Adenauer Foundation Scholarship

Application Deadline

Not Specified

How To Apply

Are you qualified and interested in this opportunity? Kindly go to BMW Group on career5.successfactors.eu to apply

For more information, kindly visit BMW Group Internship webpage.

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