Working Student Data Analytics for Infotainment Systems

Tasks

In the Infotainment Device Integration department, you will support the seamless integration of consumer devices such as smartphones, headphones, and wearables into vehicle infotainment systems, including Bluetooth, Apple CarPlay, and Google Android Auto.

• 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 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 issue patterns with ticketing systems and development workflows such as Jira.
• Create 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 automotive infotainment development.
• Work on 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.

Qualifications

• Degree in Computer Science, Business Informatics, or a comparable field of study.
• Fluent German and English language skills, 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

Please submit an online application including a resume, cover letter, certificates, current certificate of enrollment stating your semester, and proof of the standard period of study. Severely disabled applicants and applicants with equivalent status are welcome.

For application-process questions, contact People Solutions at myhrservice@mercedes-benz.com or 0711/17-99000. The representative for severely disabled employees can be reached at sbv-sindelfingen@mercedes-benz.com.

Benefits

Meal discounts, employee mobile phone, possible employee discounts, possible annual profit share, employee events, coaching, flextime, possible hybrid work, health benefits, company retirement, mobility offers, parking, in-house doctor, good public transport, barrier-free workplace, near-site childcare, and canteen or café.