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Mercedes-Benz AG | Germany | 76xxx Rastatt | Student job | Part time - flexible / Home office | Published since: 01.10.2026 on stepstone.de ♿️

Branch: Automotive, aeronautic, aer... Branch: Automotive, aeronautic, aerospace and ship building


Your tasks • Your profile • What we offer

Life is always about becoming... In life it is about going on a journey to become the best version of our future self. As we discover new things, we face challenges, master them and grow beyond us.

Apply to Mercedes-Benz and find the area where you can develop your talents individually. You will be supported by visionary colleagues who share your pioneering spirit. Joining us means becoming part of a global team whose goal is to build the most desirable cars in the world. Together for excellence.

Number: MER00048PF We in the production supply hall 4.0 are responsible for the reliable and efficient supply of material. In our hall various vehicle series are produced. In addition to the support and continuous further development of our logistics processes, we are intensively engaged in the digitization and automation of the production supply. We use data and digital technologies to make processes more transparent, efficient and sustainable. For this exciting and innovative task we are looking for you as a working student*in digitalization in production supply. Your tasks in detail: Support for the digitization and automation of logistics and business processes in production supply Participation in the design, development and implementation of digital tools, applications and automation solutions Support in the processing and analysis of data as well as in the development of dashboards and key figures for increasing the transparency of operational processes Analysis of current technologies and digital solutions in the fields of data analytics, process mining, low-code/no-code, automation and artificial intelligence, as well as evaluation of possible fields of application in logistics Insights into the order, production, material and information flows of a modern production site as well as independent cooperation on smaller digitization projects The activity can begin from December 2026.

Course in Business Informatics, Industrial Engineering, Data Science, Computer Science, Logistics Management, Business Administration or a comparable degree course Interest in digitization, data analysis, automation and innovative technologies First experiences with Power BI, Power Automate, Power Apps, Excel, SQL, Python, Celonis or comparable applications are advantageous Safe handling of MS Office Secure knowledge of German and English in word and writing Analytical way of thinking and a structured and independent way of working Initiative, creativity and commitment Communication and team skills as well as interest in cooperation with different disciplines Additional information: We are looking forward to your online application with CV, lettering, certificates, current enrollment certificate, giving the semester and proof of the regular study period. Please do not forget to mark your documents as ''relevant for this application' in the online form and note the maximum file size of 5 MB. Further information on the setting criteria can be found here. Disabled and equalized applicants are welcome! The severely disabled representative (sbv-rastatt@mercedes-benz.com) is happy to support you in the application process. People Solutions will be happy to help you with questions about the application process. You can reach us by email via myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mo-Fr 10-12am & 13-15am).

Food supplements Employee handy possible Employee discounts possible Employee participation possible Staff Events Coaching Flexible working time possible Hybrid work possible Health measures Employment Mobility offers Kantine, Café Business doctor Accessibility Good connection Parking space Child care

Location

ava Mercedes-Benz AG
76437  Rastatt
Germany

The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.

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