Product analyst in an education app

ArtWorkout Limited; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Fully remote work from anywhere

Flexible hours

Competitive USD compensation

Job summary

ArtWorkout Limited is seeking a Lead Product Analyst / Analytics Engineer to build AI-native analytics processes and automate experimentation for a mobile drawing app used globally. You will own product metrics, design scalable analytics workflows, and collaborate with engineers to improve data collection and insights.

Join a fast-growing global team, work fully remotely from anywhere, and influence strategic product decisions with data-driven analyses and validated experiments.

Qualifications

• 5+ years in product analytics or growth analytics.
• Proficient in SQL with ClickHouse/BigQuery.
• Proficient in Python for data analysis and automation.
• Deep understanding of product metrics, funnels, retention, monetization.
• Experience designing and analyzing A/B experiments.
• Build reusable analytics tools or automated processes, not only dashboards.
• Experience with AI agents or LLM-based workflows.
• Git/GitHub workflow with PRs, tests, documentation.
• Independent validation of AI-generated analyses.
• High data quality ownership.
• English proficiency at B2+.

Responsibilities

• Build AI agents and automated workflows to identify 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 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.

Skills

SQL proficiency

Python scripting

Product metrics

A/B experimentation

Analytics tooling

Git/GitHub

Data quality

English proficiency

AI agents

LLM workflows

Tools

ClickHouse

BigQuery

GitHub

Job description

Описание

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.

Задачи

• 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.

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, 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.

Условия

• 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.