AI Analytics Lead (EdTech)

TL;DR

AI Analytics Lead (EdTech/AI): Transforming product analytics into an automated, AI-driven system for a global language learning platform with an accent on AI agents, metric governance, and scalable data access. Focus on implementing LLM-based workflows for insight discovery, automating repetitive analytics, and strengthening the B2C experimentation framework.

Location: Fully remote (Work from anywhere in the world)

Compensation: USD (gross)

Company

EWA is an international B2C EdTech product for language learning with a multi-million user base worldwide.

What you will do

• Define the analytics strategy and operating model to support product, growth, and monetization.
• Lead the transition to AI-powered analytics, including natural-language data access and AI agents for insight discovery.
• Manage B2C product metrics such as funnels, activation, retention, LTV, and subscription cohorts.
• Build decentralized KPI ownership, unified metric definitions, and a trusted semantic layer.
• Optimize event tracking taxonomy and data models to ensure reliability for both teams and AI agents.
• Strengthen A/B testing practices, from hypothesis design to statistical interpretation and product recommendations.

Requirements

• Strong experience in B2C product analytics for mobile, subscription, or EdTech products.
• SQL mastery and experience working with large volumes of user data.
• Proven track record of building or rebuilding analytics systems and metric frameworks.
• Hands-on experience applying AI and LLM-based workflows to automate analytics processes.
• Deep understanding of core product metrics: LTV, churn, paywalls, and retention.
• Ability to drive ambiguous directions end-to-end with high ownership.

Nice to have

• Experience building self-service analytics systems.
• Expertise in evaluating AI agent quality, including hallucination management and guardrails.
• Proficiency with tools like Amplitude, Mixpanel, Looker, Tableau, or Metabase.
• Experience in language learning, consumer AI products, or managing other analysts.
• Understanding of ML and Data Science use cases in a product environment.

Culture & Benefits

• Fully remote work arrangement allowing you to work from any country.
• Compensation paid in USD.
• Provision of modern tools and subscriptions to accelerate testing and results.
• Opportunity to shape the analytics evolution of a product with millions of users.
• Direct impact on product decisions and direct interaction with the founder and leadership.
• Fast-paced decision-making environment with a strong product team.