Note: The job is a remote job and is open to candidates in USA. EWA Learn Languages is an international B2C EdTech company focused on language learning with a large user base. They are seeking an AI Analytics Lead to enhance their analytics capabilities, transitioning from traditional methods to an AI-driven system, while overseeing product and business metrics, data governance, and self-service analytics.
Responsibilities
- Define how analytics should support the product, growth, monetization, and experimentation
- Lead the shift to AI agents in analytics: natural-language data access, AI-assisted reporting, insight discovery, automation of repetitive queries, anomaly detection, and internal tools for product and business teams
- Work with the key product and business metrics: funnels, activation, onboarding, retention, engagement, monetization, churn, LTV, paywall, cohorts, subscription metrics, segmentation, and learning behavior
- Build decentralized KPI ownership, unified metric definitions, documentation, data-quality control, and a trusted semantic layer for Product, Growth, Marketing, Finance, Engineering, and Leadership
- Review and improve event taxonomy, tracking logic, the tracking plan, data models, and analytics layers, so that both teams and AI agents can work with the data reliably
- Build a system where product, growth, and leadership teams can get answers to common questions without constant dependence on manual, ad hoc analysis
- Strengthen the experimentation practice: hypothesis design, metric selection, test analysis, statistical interpretation, segment analysis, and product recommendations based on the results
- Be a partner to leadership: find growth opportunities, validate hypotheses with data, surface risks, and turn complex analysis into clear product and business decisions
Skills
- Strong experience in product analytics in B2C, mobile, subscription, EdTech, consumer apps, or similar products
- Experience building or rebuilding analytics systems, metric frameworks, or a data-driven operating model
- SQL mastery
- Experience working with large volumes of user data
- Deep understanding of product metrics: funnels, cohorts, activation, retention, engagement, monetization, LTV, churn, paywall, and subscription metrics
- Experience with event tracking, tracking plans, data quality, and metric governance
- Solid technical grounding in data warehouses, BI, dashboards, data modeling, and semantic layer
- Experience with A/B tests and the statistical interpretation of experiments
- Hands-on experience applying AI in analytics: AI-assisted reporting, natural-language analytics, LLM-based workflows, AI agents, or automating analytics processes
- The ability to work hands-on: dive into the data, test hypotheses, find problems, and turn analysis into concrete recommendations
- Strong communication with Product, Growth, Marketing, Finance, Engineering, and Leadership
- Ownership, agency, and the ability to drive an ambiguous direction end-to-end
- Experience building self-service analytics
- Experience implementing AI agents or internal AI tools for product, growth, or business teams
- Experience evaluating the quality of AI-agent responses: hallucinations, guardrails, source verification, metric interpretation, and escalation logic
- Experience with Amplitude, Mixpanel, Looker, Tableau, Power BI, Metabase, or similar tools
- Experience in EdTech, language learning, subscription apps, mobile apps, or consumer AI products
- Experience managing analysts or cross-functional data initiatives
- An understanding of ML / Data Science use cases in a product environment
Benefits
- Fully remote work — work from anywhere in the world.
- Compensation in USD (gross).
- Access to the most modern tools, technologies, and subscriptions — everything that helps you test ideas faster, speed up your work, and improve results.
- The opportunity to shape the next stage of analytics in an international B2C EdTech product with a multi-million audience.
- Direct impact on product decisions, growth, and monetization.
- Broad ownership and direct interaction with the founder and leadership team.
- A strong product team and a fast pace of decision-making.
Company Overview