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 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 successfu
