Working Student Digitalization & Innovations Intralogistics

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: MER0003ZDA Since 1919, the Sindelfingen site has been writing automotive history and produces the S- and E-Class for the entire world market. Logistics will be paperless, digital, automated and transparent in the future. As a team „Innovations & Digitization“ we set the logistics standards in line with all the works for planning processes, supply concepts such as driverless transport systems (FTS) and equipment. Our responsibility for the standards extends from the idea to the support of the implementation with the specialist areas of logistics planning. We develop innovative ideas and methods as well as individual solutions for the specific requirements of the works and implement them in cooperation with the logistics operators. In addition to external cooperation partners, we work closely interdisciplinary with colleagues from the fields of quality management, occupational safety, assembly, IT. New technologies constantly generate a large amount and diversity of data. Our task is to develop software solutions in the form of microservices based on these real-time data. In this way, live tracking, early warning, error analysis and simulations are enabled, as well as complete transparency for operators and logistics planners are produced. These challenges include: Creation and maintenance of Power BI dashboards: You take on the conception, development and ongoing updating of interactive evaluations to map key indicators and trends Data Analytics & Reporting: You analyze internal and external data sources, identify relevant trends and help us develop data-based solutions Data integration and processing: You are responsible for the clean integration and transformation of data from different systems and ensure complete data quality Interdisciplinary cooperation: Together with the teams of IT, production, planning and external partners, you tune the requirements and bring your analytical expertise into innovative projects Continuous optimization: You support us in the continuous improvement and expansion of our reporting and analysis processes to drive the digital transformation The activity can begin from April 2026.

Course in Business Informatics, Industrial Engineering or a comparable degree course Secure knowledge of German and English in word and writing Safe handling of MS Office, in particular sound knowledge in Power BI and other data visualization tools Commitment and team skills Analytical thinking and strategic working 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 Parking space Business doctor Good connection Accessibility Child care Kantine, Café