Requirements

• 5+ years of experience in product analytics, analytics engineering, or growth analytics.
• Strong SQL skills and experience with ClickHouse, BigQuery, or similar analytical databases.
• Strong Python skills for data analysis and automation.
• Strong understanding of product metrics, funnels, retention, monetization, and unit economics.
• Experience designing and analyzing A/B experiments.
• Experience building reusable analytical tools or automated processes, not only dashboards and one-off analyses.
• Practical experience with AI agents or LLM-based workflows: tool integration, orchestration, evaluation, guardrails, and human review.
• Confident Git/GitHub workflow, including pull requests, code review, tests, and documentation.
• Ability to independently validate AI-generated analysis and identify its failure modes.
• High ownership and strong attention to data quality.
• English B2+.

Nice to Have

• Experience with B2C mobile apps, gaming, or EdTech products.
• Experience with subscription products and advertising monetization.
• Experience with GrowthBook or similar experimentation platforms.
• Experience with analytics infrastructure, semantic layers, or data contracts.
• Knowledge of Bayesian statistics or advanced experimentation methods.
• Experience with LLM evaluations, RAG, knowledge graphs, or agent observability.

Technologies We Use

• ClickHouse, Redash, GrowthBook, Apphud, Firebase Analytics, GitHub, Python, SQL, AI agents, and internal integrations.

What We Offer

• Opportunity to shape an AI-native analytics function in a fast-growing global product.
• Direct collaboration with the founder and product team.
• Millions of users and real product challenges to solve.
• High ownership and the ability to turn successful analytical workflows into everyday company tools.
• Fully remote work from anywhere in the world.
• Flexible working hours.
• Competitive compensation in USD.