Product analyst for AI experimentation
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вакансия
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332 788 ₽
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описание
ArtWorkout is a mobile drawing app used by millions of people worldwide. It combines creativity, education, and gamification to help users learn to draw, relax, and develop new skills.
задачи
- Build AI agents and automated workflows to identify and validate opportunities in conversion, retention, subscriptions, advertising, ARPU, and LTV;
- Develop a repeatable process from data signals to validated insights, product hypotheses, and experiments;
- Automate key parts of the A/B testing lifecycle, including 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.
требования
- 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, beyond dashboards and one-off analyses;
- Practical experience with AI agents or LLM-based workflows, including 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, subscription products and advertising monetization, GrowthBook or similar experimentation platforms, analytics infrastructure, semantic layers or data contracts, Bayesian statistics or advanced experimentation methods, LLM evaluations, RAG, knowledge graphs, or agent observability.
условия
- Fully remote work from anywhere in the world;
- Flexible working hours;
- Competitive compensation in USD.
навыки
Приложение для обучения рисованию: пошаговые уроки и ежедневная практика.
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