Product analyst in an education app

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.

• 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.

• 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+.
• Будет плюсом: 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

• 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.