product analyst

EWA is an international B2C EdTech product for language learning with a multi-million user base. The company develops a mobile-first learning experience and processes large volumes of user data related to acquisition, engagement, retention, monetization, and learning behavior.

• Define the analytics strategy and operating model to support product, growth, monetization, and experimentation;
• Lead the shift to AI agents for natural-language data access, AI-assisted reporting, insight discovery, and automation of repetitive tasks;
• Manage key product and business metrics including funnels, activation, onboarding, retention, engagement, LTV, churn, and subscription metrics;
• Build decentralized KPI ownership, unified metric definitions, and a trusted semantic layer for cross-functional teams;
• Review and improve event taxonomy, tracking logic, and data models to ensure reliability for teams and AI agents;
• Develop a self-service analytics system to reduce dependence on manual ad hoc analysis;
• Strengthen experimentation practices, including hypothesis design, metric selection, and statistical interpretation;
• Partner with leadership to identify growth opportunities, validate hypotheses, and translate analysis into business decisions.

• Extensive experience in product analytics within B2C, mobile, subscription, or EdTech products;
• Proven track record of building or rebuilding analytics systems, metric frameworks, or data-driven operating models;
• Mastery of SQL and experience working with large volumes of user data;
• Deep understanding of product metrics and subscription-based business models;
• Proficiency in event tracking, data quality management, and metric governance;
• Solid technical background in data warehouses, BI, data modeling, and semantic layers;
• Hands-on experience applying AI in analytics, such as LLM-based workflows or AI agents;
• Ability to work independently, dive into data, and drive ambiguous initiatives end-to-end;
• Strong communication skills for collaborating with Product, Growth, Marketing, Finance, and Leadership;
• Nice to have: Experience building self-service analytics, implementing internal AI tools, evaluating AI-agent response quality, familiarity with tools like Amplitude, Mixpanel, Looker, Tableau, Power BI, or Metabase, experience in EdTech or consumer AI, experience managing analysts or cross-functional initiatives, understanding of ML/Data Science use cases.

• Compensation in USD;
• Access to modern tools, technologies, and subscriptions;
• Opportunity to shape the analytics strategy for an international product;
• Direct impact on product decisions and growth;
• Collaboration with the founder and leadership team.