Senior Product Analyst

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. As a Product Analyst, you’ll 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: 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: develop a deep understanding of our customers’ users and products, especially the Buyer Journey, analyzing how buyers arrive on our customers’ platform, navigate flows, and convert. Data Enablement & Self‑Service Analytics: develop self‑service data products such as dashboards, data models, and metric frameworks; evaluate new analytics technologies, including GenAI applications, and establish scalable use cases that provide stakeholders with easy access to reliable insights. Consultative Analytics & Insight Generation: answer business questions through analytical deep dives and clearly communicate insights, trends, and recommendations to product teams, transforming complex analysis into actionable guidance. Collaboration & Data Quality: collaborate with engineering, tracking, and data platform teams to ensure high‑quality event instrumentation, data reliability, and alignment on metric definitions; maintain data documentation and create a shared understanding of core KPIs. Experimentation & Optimization: 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 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. English level – at least Upper‑Intermediate, both spoken and written. We offer* Flexible working format – remote, office‑based or flexible. A competitive salary and good compensation package. Personalized career growth. Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more). Active tech communities with regular knowledge sharing. Education reimbursement. Memorable anniversary presents. Corporate events and team build‑ings. Other location‑specific benefits. Not applicable for freelancers. #J-18808-Ljbffr