Working Student Data Analytics for Infotainment Systems

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Job-ID: MER00048W1 Tasks

In our department Infotainment Device Integration, we are responsible for the seamless integration of consumer devices such as smartphones, headphones, and wearables into the vehicle infotainment system. This includes the development, validation, and continuous improvement of technologies such as Bluetooth, Apple CarPlay, and Google Android Auto. We are looking for you as a Working Student Data Analytics for Infotainment Systems for this exciting and challenging area.

You will master these tasks:

Analyze quality, usage, and diagnostic data from customer vehicles in the field

Identify product issues, usage challenges, and opportunities to improve the customer experience

Gain insights from various data sources, including vehicle diagnostics, customer complaints, and user behavior data

Apply modern AI and machine learning approaches to automate data analysis and pattern recognition

Develop automated processes for filtering, categorizing, and processing large datasets

Correlate identified issue patterns with existing ticketing systems and development workflows, such as Jira

Create insightful dashboards, reports, and visualizations to support data-driven decision-making

Support quality improvement initiatives by transforming data into actionable recommendations

What we offer:

Hands-on experience in cutting-edge automotive infotainment development

Opportunity to work on real customer-facing quality and user experience topics

Exposure to large-scale data analytics and AI applications

Close collaboration with experienced engineers and data analysts

Flexible start date from November 2026 onwards

Insights into innovative connected mobility technologies

An open and collaborative working environment with opportunities for personal and professional development

Shape the future of connected mobility with us and help create outstanding customer experiences.

The activity can begin from mid November 2026.

Qualifications

Degree in Computer Science, Business Informatics, or a comparable field of study

Fluent German and English language skills, both written and spoken

Commitment and ability to work effectively in a team

Analytical mindset and strategic way of working

Strong interest in data analytics, artificial intelligence, and software-driven products

Basic understanding of technical systems and enthusiasm for automotive infotainment technologies

Ideally, first experience with Python, data analytics, business intelligence, or machine learning

Independent and structured way of working

Good communication skills and a proactive attitude

Additional Information:

We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, 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-sindelfingen@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

Martin Schwab Email: martin.schwab@mercedes-benz.com

Mercedes-Benz Plant Sindelfingen, Sindelfingen

Benz-Str. Tor 16 71063 Sindelfingen