Data Product Manager
@ Mobile.de

Berlin, Berlin, Germany
€100,000
On Site
Full Time
Posted 23 days ago

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Job Details

About mobile.de

Founded in 1996, mobile.de disrupted the status quo of buying and selling cars as the first online vehicle marketplace. Today, mobile.de is Germany's largest vehicle marketplace with 1.4 million listed vehicles and 108 million monthly customer visits. The platform offers additional financing and leasing solutions alongside buying and selling vehicles.

What We Offer

At mobile.de, you will be part of a diverse, international team that values meaningful work, AI integration, growth, and a strong culture of connection and inclusion. Enjoy continuous development opportunities, training budgets, and flexible work options including remote days.

  • 28 days paid time off
  • €50 monthly mobility allowance
  • Development budget and coaching
  • Parental leave benefits
  • Annual incentive plan

Your Role & Responsibilities

As a Data Product Manager at mobile.de, you will join the Data & Analytics Strategy team. Your key responsibilities include:

  • Bridging technical and business needs through requirements engineering
  • Planning and prioritizing data product roadmaps
  • Acting as a strategic partner to business units
  • Driving user adoption with training and documentation
  • Championing a data self-service culture and quality standards

Your Profile

You are expected to have strong project management, exceptional communication, and a robust understanding of data engineering principles, data analysis tools (such as SQL and Looker), along with experience in agile methodologies. A passion for learning and a strategic mindset towards data is essential.

Key skills/competency

  • Data Engineering
  • Data Analysis
  • BI Tools
  • Agile
  • Project Management
  • Communication
  • Data Governance
  • SQL
  • Looker
  • Strategic Planning

How to Get Hired at Mobile.de

🎯 Tips for Getting Hired

  • Customize your resume: Highlight data product and agile experiences.
  • Research mobile.de: Understand their marketplace and AI initiatives.
  • Align skills: Emphasize data analysis and BI tool proficiency.
  • Practice interviews: Prepare for questions on data strategy.

📝 Interview Preparation Advice

Technical Preparation

Review SQL and BI tools.
Study data modeling methods.
Practice agile project scenarios.
Understand data governance principles.

Behavioral Questions

Describe a challenging project.
Explain cross-team collaboration.
How do you handle feedback?
Share problem-solving examples.

Frequently Asked Questions