Job
- Level
- Junior
- Location
- Sindelfingen
- Working Model
- Hybrid, Onsite
- Job Field
- Data
- Employment Type
- Part Time
- Contract Type
- Permanent employment
Job Summary
In this role, you analyze vehicle diagnostics and user behavior data, identify improvement opportunities for user experience, and develop automated processes for data preparation and visualization.
Job Technologies
Your role in the team
- 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.
- 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.
- Unterstützung bei Qualitätsverbesserungsinitiativen durch die Umwandlung von Daten in umsetzbare Empfehlungen.
This text has been machine translated. Show original
Our expectations of you
Education
- Degree in Computer Science, Business Informatics, or a comparable field of study.
Qualifications
- Fluent German and English language skills, both written and spoken.
- Engagement 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.
- Unabhängige und strukturierte Arbeitsweise.
- Good communication skills and a proactive attitude.
Experience
- Ideally, first experience with Python, data analytics, business intelligence, or machine learning.
This text has been machine translated. Show original
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.
- Enge Zusammenarbeit mit erfahrenen Ingenieuren und Datenanalysten.
- 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.
This text has been machine translated. Show original
Benefits
Higher Take-Home Pay
- 🏝️Summer and Christmas Bonus
- 🍰Employee Stock Option
- 💻Company Notebook for Private Use
- 🚙Company Car
- 📱Company Phone for Private Use
- 🛍Employee Discount
- 👴🏻Company Retirement Provision
- 👷♂️Additional Insurance
Health, Fitness & Fun
Work-Life-Integration
- 🐕Animals Welcome
- 🏠Home Office
- 🍼Day Care for Kids
- 🅿️Employee Parking Space
- 🚌Excellent Traffic Connections
- ⏰Flexible Working Hours
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
Mercedes - Benz AG
The Mercedes-Benz brand of automobiles is a registered trademark of Daimler AG. In 2016, sales of new vehicles reached 2.08 million. With business units including Mercedes-Benz Cars, Daimler Trucks, Mercedes-Benz Vans, Daimler Buses and Daimler Mobility, the company ranks among the leading providers of premium cars and is the world's largest commercial vehicle manufacturer.
Description
- Founding Year
- 1926
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier, Industry, Production
Employer reviews
by devworkplaces.com
Total
(1 Review)4.4
Workingconditions
4.8Engineering
4.0Career Growth
4.8Culture
4.2
Working Student Data Analytics
- Location
- Sindelfingen
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
