Mercedes-Benz Group AG is one of the most successful automotive companies in the world. We are firmly established in the digital domain and continuously expand our digital service portfolio and the corresponding sales measures through a data-driven approach. 

As part of the digital product management domain, we focus on the global offering and performance of Digital Extras – value-adding features and services that enhance the customer's connected car experience. Our team analyzes and visualizes the usage and sales data behind these digital products. Leveraging cloud technology and responsible data handling, we work closely with markets as well as R&D and IT hubs around the world. 

Our insights enable cross-functional initiatives – from developing next-generation services in a customer-centric way, to setting sales targets based on data, to initiating revenue-driving targeted marketing activities. 

We are looking for you to join our team of motivated and highly skilled colleagues for an internship in Digital Product Business Analytics. You will gain behind-the-scenes insights into digital sales at scale while growing your analytical skill set. Our team offers broad support and at the same time gives you the freedom to contribute your own ideas and take end-to-end ownership of your work.

You will be involved in these exciting activities: 

• Working on business analytics topics related to the sales performance of digital products within the connected car ecosystem
• Developing accurate analytics based on business demand on our cloud-based data platform built on Databricks and Microsoft Azure, delivering the results in frontends such as Power BI
• Building LLM-based and agentic AI tools and working with them in your day-to-day work – from prompt-based data analytics to AI-assisted development 
• Improving how we run demand management and stakeholder communication, from process design to automation in Jira and Confluence
• Contributing to dashboard UI/UX design, data architecture, data pipelining and data quality monitoring within broader project scopes 
• Collaborating directly with stakeholders across more than 50 markets
• Taking the initiative to solve real-world data challenges independently and flexibly

The activity can begin from November 2026. 

• Studies in business informatics, business analytics, computer science, industrial engineering or a comparable degree program 
• Basic knowledge of SQL and Python for creating data insights at scale, PySpark is a plus
• First exposure to cloud data platforms such as Databricks or Microsoft Azure is an advantage
• Basic knowledge of Power BI or a comparable BI tool for building dashboards
• Curiosity about AI, LLMs and agentic tools and the willingness to not only apply them but also build them
• Familiarity with Jira and Confluence, or the willingness to get comfortable with them quickly
• Interest in translating business questions into data-driven answers
• Analytical and independent way of working, paired with the confidence to communicate with international stakeholders
• Excellent communication skills in written and spoken English, German is an advantage

Please note that your internship at this location must be mandatory.

We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, proof of mandatory internship if applicable, and proof of the standard period of study. Please remember to mark your documents as "relevant for this application" in the online form and observe the maximum file size of 5 MB.

You can find further information on the hiring criteria here.

Severely disabled applicants and applicants with equivalent status are welcome! The representative for severely disabled employees (sbv-zentrale@mercedes-benz.com) will gladly support you in the application process.

People Solutions will be happy to help you with any questions you may have about the application process. You can reach us by email at myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mon-Fri 10am-12pm & 1pm-3pm).