Senior Product Analyst (AI)

Build AI-native analytics processes, experimentation automation, and reliable internal analytics tooling for unit-economics growth. ArtWorkout is a mobile drawing app used by millions of people worldwide. We combine creativity, education, and gamification to help users learn to draw, relax, and develop new skills. You will work with a product serving 1M+ iOS MAU and 1.5M+ Android MAU, about 80 million ClickHouse events per day, and a history of 600+ A/B experiments. We are looking for a Lead Product Analyst / Analytics Engineer who will help us build AI-native analytics processes, automate experimentation, and systematically find opportunities to improve unit economics. You will work closely with the founder, product managers, and engineers. The role combines hands-on product analytics with building reliable tools and AI agents that turn recurring analytical work into scalable processes. Responsibilities: - Build AI agents and automated workflows that identify and validate opportunities in conversion, retention, subscriptions, advertising, ARPU, and LTV. - Develop a repeatable process from data signal to validated insight, product hypothesis, and experiment. - Automate key parts of the A/B testing lifecycle: setup validation, metric selection, monitoring, guardrails, result analysis, and knowledge capture. - Define and maintain key product and unit-economics metrics. - Analyze funnels, cohorts, retention, monetization, and user behavior using SQL and Python. - Build and maintain reusable analytics tools, scheduled workflows, dashboards, and data-quality checks. - Ensure AI-generated insights are traceable, reproducible, and independently validated. - Develop the internal analytics codebase through GitHub, code review, tests, CI, and documentation. - Collaborate with engineers to improve event tracking, data collection, and analytics infrastructure. - Translate business questions and data signals into clear product decisions. 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 and Russian B2+ and higher. 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.