The European online car market is looking to enhance the user experience for millions of car buyers and sellers by shaping the future of online car markets and grounding product decisions in data.
Requirements
- 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.
Responsibilities
- Data-Driven Product Development: as a Product Analyst, you play a key role as an analytical sparring partner for our customers’ product teams, ensuring that decisions and product development processes are deeply grounded in data.
- Deep Customer Understanding: You will develop a deep understanding of our customers’ users and products, especially the Buyer Journey.
- Data Enablement & Self-Service Analytics: you develop self-service data products such as dashboards, data models, and metric frameworks.
- Consultative Analytics & Insight Generation: you answer business questions through analytical deep dives and clearly communicate insights, trends, and recommendations to product teams.
- 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.
- 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.
Other
- 4+ years of experience in analytics, customer insights, data science, or data-driven consulting.
- 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.
- English level - at least Upper-Intermediate, both spoken and written
- Flexible working format - remote, office-based or flexible
