product analyst for web products

Readymag is a design tool for creating websites, landing pages, portfolios, magazines, editorials, and presentations. It has a fully distributed team, a strong international user community, and a client-oriented service.

• Own product analytics infrastructure in Amplitude and BigQuery, maintaining data consistency, quality, and coverage;
• Use analytics infrastructure as a primary tool for discovery rather than only as a reporting layer;
• Analyze funnels, retention, cohorts, activation, onboarding, and in-product behavior;
• Form hypotheses, investigate anomalies, and drive analyses through to clear conclusions;
• Design and run A/B tests end-to-end, including framing questions, calculating sample sizes, monitoring, and interpreting results;
• Write SQL in BigQuery to explore data, validate quality, and answer complex ad-hoc questions;
• Build dashboards and reports and use them to surface findings, generate hypotheses, and proactively share insights;
• Translate findings into clear, actionable conclusions for product and growth teams;
• Work with an analyst, developers, and data engineers to keep tracking consistent across the funnel;
• Define instrumentation requirements when tracking gaps appear;
• Help shape the analytics infrastructure during the migration from Amplitude toward a full data warehouse setup.

• 5+ Years of relevant experience with a track record of influencing product decisions;
• Strong SQL, including complex queries, joins, aggregations, and window functions;
• Python for data processing, visualization, and statistical analysis of A/B tests and research;
• Experience with product analytics tools such as Amplitude, Tableau, Looker, or similar;
• Solid understanding of the full user funnel for web products, including acquisition, activation, retention, and in-product behavior;
• Basic data engineering literacy, including tracking setup, data sources, and uncovered zones;
• Ability to define and articulate requirements for developers or data engineers for tracking enhancements and additional data acquisition;
• English at a B2+ level;
• Nice to have: Experience with BigQuery, building or significantly improving an analytics setup from scratch, a statistics background or hands-on experimentation experience, experience building custom dashboards and conducting research from scratch.

• Remote work with a flexible schedule;
• 28 Weekdays of paid annual leave;
• Corporate laptop;
• Coworking space fee compensation;
• Language courses;
• Compensation for sports or other physical activities;
• Learning budget for courses, books, or conferences;
• Collaboration under a service agreement;
• Work primarily within the GMT+1 time zone with regular weekday business-hours overlap.