Lead Product Analyst / Analytics Engineer

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.