Senior Product Analyst

About the client:

Our customer is the European online car market with over 30 million monthly users with a market presence in 18 countries. As a Senior Product Analyst you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.

About the Role

As a Product Analyst youll join our clients Buyer Analytics Team and act as a key analytical partner for our product teams. You will help shape product decisions by grounding them in data building self-service analytics tools and generating insights that improve the Buyer Journey and overall product performance.

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 this role you will be an integral part of our Buyer Analytics Team.
• Deep Customer Understanding: You will develop a deep understanding of our customers users and products especially the Buyer Journey. You will analyze how buyers arrive on our customers 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.

Requirements:

• 4 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.
• English level - at least Upper-Intermediate both spoken and written