About the role
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
Originally posted on Himalayas