Description We're looking for a Product Analyst to own metrics, experimentation, and data quality for SMP and SMD. You'll be at the center of how the team makes decisions — building the dashboards people check daily, running the A/B tests that validate product hypotheses, and increasingly, using AI agents to move faster without sacrificing rigor. This is a hands-on analytics role for someone who already treats tools like Claude Code, Cursor, or ChatGPT as part of their daily workflow, not a novelty We are actively integrating AI and automation into all areas of the business and expect candidates with a mindset focused on improving efficiency and delivering a better experience. Key responsibilities Own and track key metrics for SMP and SMD products: dashboards and regular reporting Launch and analyze experiments and A/B tests: validate hypotheses, run the test, deliver conclusions Use AI agents (Claude Code or similar) for day-to-day analytics work and verify their output before it goes to stakeholders Turn recurring analyses into reusable AI skills and automated pipelines Ensure data accuracy, consistency, and completeness across sources Identify trends, anomalies, and insights to guide decision-making Document metric definitions, data sources, and known data issues so both people and AI tools can rely on them Requirements Daily use of AI coding/analytics tools (Claude Code, Cursor, ChatGPT or similar) in real work, not as an experiment Strong SQL: enough to review and fix generated queries quickly Python for data cleaning and analysis Strong understanding of A/B testing methodologies Solid math and statistics for modeling and hypothesis testing Experience with data visualization tools (e.g., Redash, Metabase, Tableau) Ability to write clear task descriptions and documentation Collaboration and problem-solving skills Upper-intermediate English level