Senior Product Analyst

4+ years of experience in analytics, customer insights, data science, or data-driven consulting. Excellent SQL skills for querying and optimizing large datasets. Experience with Python for data analysis and automation. Ability to model data and build efficient analytics pipelines. 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. 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 for explaining insights to technical and non-technical stakeholders. High motivation, proactiveness, and enthusiasm for data and product analytics. English level - at least Upper-Intermediate, both spoken and written.

Act as an analytical partner for product teams, grounding decisions in data. Develop deep understanding of users and products, focusing on the Buyer Journey. Build self-service data products like dashboards and metric frameworks. Evaluate new analytics technologies, including GenAI applications. Answer business questions through analytical deep dives and communicate insights. Collaborate with engineering and data teams for data quality and metric alignment. Support experimentation by designing A/B tests and interpreting outcomes.