Intern Business Analytics in Digital Product Management (Mandatory Internship)

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Job-ID: MER000482E Tasks

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.

Qualifications

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).

Benefits

Meal-Discounts

Mobile Phone for Employees Possible

Discounts for Employees Possible

Annual Profit Share Possible

Events for Employees

Coaching

Flextime Possible

Hybrid Work Possible

Health Benefits

Company Retirement

Mobility Offers

Parking

Inhouse Doctor

Good Public Transport

Barrier-Free Workplace

Near-Site Childcare

Canteen, Café

Contact

Max Leon Kiefer Email: max_leon.kiefer@mercedes-benz.com

Mercedes-Benz AG, Stuttgart Am Wallgraben 114 Haus B 70565 Stuttgart