0Working Student Data Analysis & AI in Product Data Management
Mercedes-Benz AG | Germany | 71xxx Sindelfingen | Student job | Part time - flexible / Home office | Published since: 19.11.2025 on stepstone.de

Working Student Data Analysis & AI in Product Data Management

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


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: MER0003VAD

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: MER0003VAD In the product data management of Mercedes-Benz AG, our department is responsible for the precise and consistent documentation as well as the correct provision of product data in vehicle development – in the right systems and at the right time. Support is sought for an exciting project for the significant optimization of software documentation quality. The role plays a key role in creating comprehensive transparency, identifying potentials for quality improvement and deriving concrete measures to increase efficiency. These challenges include: Data detective*in: You dive deep into our data and identify relevant sources of information

Visualization artist*in: You create meaningful reporting and dashboards to understand complex data and create transparency

Process Optimizer*in: You help us automate reporting processes and make them more efficient.

AI pioneer*in: You actively contribute to the application of AI technologies to gain new insights from our data

The activity can begin from February 2026.

Degree in Business Informatics, Computer Science, Data Science, Mathematics, Industrial Engineering or a comparable degree course

First knowledge of data analysis and data visualization

First knowledge of Power BI and programming

Interest or experience in handling AI technologies

Secure knowledge of German and English in word and writing

Safe handling of MS Office

Self-employed, responsible and reliable operation

Engagement and team spirit

High readiness and motivation

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-Sindelfingen@mercedes-benz.com) is happy to support you in the application process. HR Services 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 Child care Parking space Good connection Accessibility

Location

ava Mercedes-Benz AG
71063  Sindelfingen
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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