AutoScout24

Senior Product Analyst – Buyer Analytics (mfd)

Stellenbeschreibung:

A career driven by you. Join AutoScout24 Group and experience life in the fast lane. Were not just leading the market; were creating it. Were constantly innovating evolving and transforming things for our customers. Were driven ambitious and determined to do our best work together. For a career that doesnt stand still where you can put your ideas in the driving seat and change the way the world moves join our international community.

What Youll Do

  • Data-Driven Product Development : as a Product Analyst you play a key role as an analytical sparring partner for our product teams ensuring that decisions and product development processes are deeply grounded in this role you will be an integral part of our Buyer Analytics Team.
  • Deep Customer Understanding : you will develop a deep understanding of our users and products especially the Buyer Journey. You will analyze how buyers arrive on our platform how they navigate through our flows and products and how they engage and convert.
  • Data Enablement & Self-Service Analytics : you develop self-service data products such as dashboards data models and metric frameworks. You evaluate new analytics technologies including GenAI applications and establish scalable use cases that provide stakeholders with easy access to reliable insights. You work side by side with product teams to enhance their data literacy and empower them to access analyze and interpret data.
  • Consultative Analytics & Insight Generation : you answer business questions through analytical deep dives and clearly communicate insights trends and recommendations to product teams. You help transform complex analysis into actionable guidance that influences product and business decisions.
  • Collaboration & Data Quality : you collaborate with engineering tracking and data platform teams to ensure high-quality event instrumentation data reliability and alignment on metric definitions. You help maintain data documentation and contribute to creating a shared understanding of core KPIs.
  • Experimentation & Optimization : you support experimentation initiatives by designing A / B tests defining hypotheses ensuring sound statistical rigor and interpreting experiment outcomes to drive continuous product improvement.

What Youll Bring

  • A degree in economics data science mathematics statistics or a related field with several years of experience in analytics customer insights data science or data-driven consulting.
  • Excellent SQL skillsyou are comfortable querying large datasets and optimizing queries for performance.
  • Experience with Python for data analysis and automation.
  • Ability to model data and build efficient analytics pipelines for production- or stakeholder-facing use cases.
  • Strong statistical knowledge including A / B test design and evaluation.
  • Familiarity with Google Analytics and event tracking implementation is a plus.
  • Expertise in data visualization tools such as QuickSight Tableau or similar BI platforms including building semantic models cubes and automated reports.
  • Experience with cloud-based data lakes or data warehouses (e.g. Redshift BigQuery Snowflake) and analytics engineering tools (e.g. dbt) is advantageous.
  • Strong communication skills - you can explain insights and analytical solutions to technical and non-technical stakeholders.
  • High motivation proactiveness and a genuine enthusiasm for data and product analytics.
  • Fluency in English.

A culture of growth

With over 50 nationalities represented were proud to welcome people of all backgrounds to our growing community and were always finding new ways to help people feel welcomed and included. Here youll have the tools training and support you need to work in a way that suits you learn new skills and reach your potential.

For a career where you can drive our business and shape your future apply now.

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NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    11 Dez 2025
  • Standort:

    Berlin

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