
501 - 1000 employees
Founded 2018
👥 B2C
🧘 Wellness
💰 $260M Series B - Neko Health on 2025-01
B2C • Wellness
Neko Health is a consumer-focused preventive health company that operates physical health centres offering rapid, comprehensive body scans and doctor-led reviews. Customers receive instant, detailed results—covering body measurements, vascular health, heart rhythm, diabetes risk factors, and skin mapping—for an annual check aimed at early detection and long-term tracking. Neko Health combines in-clinic diagnostics with data collection for benchmarking and research, and currently has locations in the UK and Sweden with plans to expand to New York City.
🕒 May 8
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501 - 1000 employees
Founded 2018
👥 B2C
🧘 Wellness
💰 $260M Series B - Neko Health on 2025-01
B2C • Wellness
Neko Health is a consumer-focused preventive health company that operates physical health centres offering rapid, comprehensive body scans and doctor-led reviews. Customers receive instant, detailed results—covering body measurements, vascular health, heart rhythm, diabetes risk factors, and skin mapping—for an annual check aimed at early detection and long-term tracking. Neko Health combines in-clinic diagnostics with data collection for benchmarking and research, and currently has locations in the UK and Sweden with plans to expand to New York City.
• Own the retention and lifetime value analytics strategy • Build LTV models, churn prediction, retention dashboards, and cohort analysis • Drive experimentation to improve retention metrics • 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, reactivation success) with regular updates • Develop a churn prediction model with meaningful accuracy; implement scoring to identify at-risk customers for proactive campaigns • Execute high-impact incremental tests on retention messaging and timing; document learnings and impact on LTV • Deliver regular retention insights reports; proactively recommend experiments or optimisations based on cohort analysis
• 8+ years in analytics, with significant experience in retention, LTV, lifecycle, or churn analytics • Expert SQL and Python/R; able to write complex queries and build predictive models • Deep expertise in cohort analysis, survival analysis, LTV modelling, and retention metrics • Strong understanding of churn prediction, propensity scoring, and reactivation mechanics • A/B testing and experimental design for retention initiatives; statistical rigour • BI tool proficiency (e.g. Tableau, Looker, Metabase); ability to build dashboards and tell the retention story visually • Strategic, proactive mindset: owning ‘the why,’ surfacing opportunities, and recommending action
• Equal Opportunity & Inclusion Statement • Inclusive hiring and member-first care • Encourage to request reasonable adjustments to support your application • Health insurance • Wellness programs • Professional development opportunities
Apply Now🕒 May 7
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