About
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.
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.
Conditions
•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.
