AI Analytics Lead

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EWA Learn Languages

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

📚 Education

👥 B2C

🛍️ eCommerce

Education • B2C • eCommerce

EWA Learn Languages is a language learning platform that offers interactive tools and resources for users to improve their language skills. With a focus on engaging content, it includes features like games, quizzes, and personalized learning paths to make the process fun and effective. The platform caters to various languages and is designed for learners of all levels, providing both educational and entertaining experiences.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Fully remote work — work from anywhere in the world. • 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.