Product Owner (m/f/d) Data Analytics

Stellenbeschreibung:

We are looking for a Product Owner (m/f/d) in Data Analytics who will build data‑driven products, turn complex data into clear insights, and collaborate across teams to support data‑based business decisions.

Responsibilities

Data-driven product development: Partner closely with Product Management to design, build, and enhance data‑driven products, leveraging advanced analytics and complex data aggregation.
Analytics model development and optimization: Review, refine, and continuously improve extrapolation and forecasting data models, ensuring robustness, scalability, and methodological consistency across our portfolio.
Advanced data analysis for decision support: Conduct ad‑hoc and deep‑dive data analyses to support product, portfolio, and strategic decisions within Product Management.
Data visualization and storytelling: Design and deliver clear, insightful, and decision‑oriented data visualizations and dashboards, translating complex analytical results into actionable insights for business stakeholders.
Cross‑functional collaboration: Work closely with Product, Data Engineering, and Tech teams to ensure data quality, analytical feasibility, and alignment of business requirements and technical implementation.

Qualifications

Educational background: Degree or background in economics, data analytics, statistics, market analysis, or a similar field.
Professional experience: 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.
Technical skills: Experience working with large datasets using SQL. Familiarity with modern data platforms such as Snowflake is a plus.
Collaboration mindset: Ability to work closely with product, data, and tech teams to turn requirements into feasible solutions.
Language skills: 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: The 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: Benefits such as job bike leasing, e‑charging stations, public transport tickets, access to a company doctor, and height‑adjustable desks in the office.