Product Owner (m/f/d) Data Analytics

Product Owner (m/f/d) – Data Analytics

You build data‑driven products, turn complex data into clear insights, and collaborate across teams to support data-based business decisions.

Responsibilities

• Partner closely with Product Management to design, build, and enhance data‑driven products, leveraging advanced analytics and complex data aggregation.


• Review, refine, and continuously improve extrapolation and forecasting data models, ensuring robustness, scalability, and methodological consistency across our portfolio.


• Conduct ad‑hoc and deep‑dive data analyses to support product, portfolio, and strategic decisions within Product Management.


• Design and deliver clear, insightful, and decision‑oriented data visualizations and dashboards, translating complex analytical results into actionable insights for business stakeholders.


• Work closely with Product, Data Engineering, and Tech teams to ensure data quality, analytical feasibility, and alignment of business requirements and technical implementation.

Qualifications

• Degree or background in economics, data analytics, statistics, market analysis, or a similar field.


• Hands‑on experience working with data in a professional environment. Ability to analyze data in depth, interpret, and discuss data from both a business and strategic perspective. Experience in the automotive aftermarket or a similar environment is beneficial.


• Experience working with large datasets using SQL. Familiarity with modern data platforms such as Snowflake is a plus.


• Ability to work closely with product, data, and tech teams to turn requirements into feasible solutions.


• Comfortable working in English in a day‑to‑day business and technical setting. German skills are beneficial.

Benefits

• Remote‑friendly setup: The freedom to work remotely while staying connected with your team.


• Real impact: Opportunity to work on data‑driven products that directly support business and strategic decisions. Plenty of scope to take ownership and contribute your own ideas.


• Cross‑functional teamwork: Close collaboration with Product, Data, and Tech teams in an open and supportive working environment that supports continuous learning and skill development.


• Additional perks and benefits: Job bike leasing, e‑charging stations, public transport tickets, access to a company doctor, and height‑adjustable desks in the office.

Diversity and Inclusion

Our company is committed to equal opportunities and inclusion. We value diversity across backgrounds and experiences.