Senior Product Analyst – Buyer Analytics (m/f/d)

Scout24 Holding GmbH; München, Berlin; Vor Ort; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

A leading technology company in Munich is seeking a Senior Product Analyst – Buyer Analytics to drive data-driven product development and enhance customer understanding. The ideal candidate has a degree in a relevant field, strong SQL and Python skills, and experience in analytics. Join a diverse team and help shape the future of analytics-driven solutions.

Leistungen

Tools and support for professional growth

Diverse and inclusive workplace

Qualifikationen

• Several years of experience in analytics, customer insights, data science, or data-driven consulting.
• Ability to optimize SQL queries for performance.
• Experience with data visualization tools.

Aufgaben

• Play a key role in data-driven product development.
• Analyze user journey and engagement.
• Develop self-service data products like dashboards.

Kenntnisse

SQL

Python for data analysis

Data modeling

Statistical knowledge

Communication

Ausbildung

Degree in economics, data science, mathematics, statistics, or related field

Tools

Google Analytics

Tableau

Redshift

Jobbeschreibung

Senior Product Analyst – Buyer Analytics (m/f/d)

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

What You’ll 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 data. 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 You’ll 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 skills—you 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, we’re proud to welcome people of all backgrounds to our growing community, and we’re always finding new ways to help people feel welcomed and included. Here, you’ll 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.