Product Owner (m/f/d) Data Analytics

Stellenbeschreibung:

Overview

As Product Owner in Data Analytics, you shape data-driven products and translate complex data into actionable insights. You collaborate with Product Management and cross-functional teams to enable data-based business decisions, while refining models and creating clear dashboards. You work on scalable analytics, robust forecasting, and decision support that impact product strategy. This role offers ownership, impact, and the chance to advance data-driven decisions in a global automotive context.

Leistungen / Benefits
  • 30 fixed vacation days per year
  • remote-friendly setup
  • flexible working hours
  • job bike leasing
  • e-charging stations
  • public transport tickets
Verantwortungsbereiche
  • Partner with Product Management to design and enhance data-driven products using advanced analytics and data aggregation
  • Review and improve extrapolation and forecasting models for robustness and scalability
  • Conduct ad-hoc and deep-dive data analyses to support product, portfolio, and strategic decisions
  • Design and deliver clear dashboards and data visualizations for business stakeholders
  • Collaborate with Product, Data Engineering, and Tech teams to ensure data quality and alignment of requirements and implementation
Zentrale Anforderungen
  • Degree or background in economics, data analytics, statistics, market analysis, or similar field
  • Hands-on experience with data in a professional environment
  • Experience with data analysis from business and strategic perspectives
  • Experience in automotive aftermarket or similar environment beneficial
  • Experience with large datasets using SQL
  • Familiarity with Snowflake is a plus
  • Ability to work with product, data, and tech teams to translate requirements into feasible solutions
  • English in day-to-day business and technical setting; German skills beneficial
  • Collaboration mindset
  • Strong analytical and storytelling abilities
  • Cross-functional teamwork
  • SQL
  • Snowflake
  • Large-scale data analysis
NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    17 Sep 2026
  • Standort:

    Munster
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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