Senior Product Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the product analytics infrastructure in Amplitude and BigQuery: ensure data consistency, quality, and coverage, and utilize it as your primary tool for discovery rather than merely as a reporting layer;

• Approach analytics with a focus on funnels, retention, cohorts, and activation. Identify anomalies in onboarding and in-product behavior, formulate hypotheses, and drive investigations to clear conclusions;

• Design and execute A/B tests from start to finish: define the question, calculate sample sizes, monitor progress, and interpret results with statistical rigor;

• Utilize SQL in BigQuery to investigate data, validate its quality, and address complex ad-hoc inquiries;

• Create dashboards and reports, and actively apply them in your work to highlight findings, generate hypotheses, and proactively share insights with the team;

• Convert findings into clear, actionable conclusions for product and growth teams;

• Collaborate closely with another analyst, developers, and data engineers to maintain consistent tracking across the funnel, and define instrumentation requirements when gaps are identified;

• Contribute to the development of the analytics infrastructure as we transition from Amplitude to a comprehensive data warehouse setup;

⛳️ Requirements

• Over 5 years of relevant experience, demonstrating a history of influencing product decisions;

• Proficient in SQL: capable of handling complex queries, joins, aggregations, and window functions;

• Proficient in Python: adept at writing scripts for data processing, visualization, and statistical analysis for A/B tests and research;

• Familiarity with product analytics tools, such as Amplitude, Tableau, Looker, or similar;

• Strong understanding of the complete user funnel for web products: acquisition, activation, retention, as well as in-product behavior;

• Basic data engineering knowledge: understanding how tracking is established, where data originates, and how to address uncovered areas;

• Ability to define and clearly communicate requirements for developers or data engineers when enhancements to tracking or additional data collection are necessary;

• Proficiency in English at a B2+ level.

🏝️ Benefits

• Flexible work arrangements