🛠 Tech Stack

💼 About This Role

You'll own the retention and lifetime value analytics strategy, building LTV models, churn prediction, and retention dashboards. Your insights will directly guide strategic CRM decisions and experimentation for a health prevention company. You'll think like an owner, not a reporter, proactively surfacing opportunities to improve customer lifetime value.

🎯 What You'll Do

• Design and implement an end-to-end LTV model with customer profitability segments
• Build and maintain retention dashboards (rebooking rate, churn curves, LTV by cohort)
• Develop a churn prediction model with scoring for at-risk customers
• Execute high-impact incremental tests on retention messaging and timing

📋 Requirements

• 8+ years in analytics with retention, LTV, or churn analytics experience
• Expert SQL and Python/R for complex queries and predictive models
• Deep expertise in cohort analysis and LTV modelling
• A/B testing and statistical rigour for retention initiatives

✨ Nice to Have

• Experience with survival analysis
• Proficiency in Tableau, Looker, or Metabase
• Strong understanding of reactivation mechanics

🎁 Benefits & Perks

• 🏖️ Flexible hybrid work in London office
• 🏥 Health and wellness benefits (inferred from company mission)
• 📈 Impact-driven culture focused on prevention
• 🌍 Diverse and inclusive hiring environment

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Application and structured screening· 30 min
2. 2Technical interview (analytics case)· 1 hour
3. 3Strategy and fit interview· 1 hour