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- Tasks: Own retention analytics, build LTV models, and drive impactful experiments.
- Company: Neko Health is revolutionising preventative care with innovative technology.
- Benefits: Inclusive culture, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team focused on meaningful health outcomes and personal development.
- Why this job: Make a real difference in people's health while shaping the future of care.
- Qualifications: 8+ years in analytics with expertise in SQL, Python/R, and retention metrics.
The predicted salary is between 60000 - 80000 £ per year.
Mission Neko is redefining what prevention means, from treating illness when it arrives, to sustaining health before it's ever at risk. Our mission: make data-driven, preventative care accessible to more people, before symptoms appear. In a single, non-invasive visit under an hour, proprietary technology and direct clinical care combine to deliver personalised, actionable insights. It's a team that thinks in 10x, not 10%. Every role here plays a part in building a world where prevention is the norm, and where your work genuinely helps people live longer, healthier lives.
Role purpose
Own the retention and lifetime value analytics strategy. Build LTV models, churn prediction, retention dashboards, and cohort analysis. Drive experimentation to improve retention metrics. This is NOT a reporting role — you own the retention narrative, proactively surface insights, and guide the CRM team’s strategic choices.
First 6–12-month outcomes
- 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
Requirements
- 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
Neko Health is committed to inclusive hiring and member-first care. We welcome candidates from all backgrounds and encourage you to request reasonable adjustments to support your application.
CRM Analyst — Retention & Lifecycle employer: Neko Health
Contact Detail:
Neko Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land CRM Analyst — Retention & Lifecycle
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Prepare for interviews by diving deep into the company’s mission and values. Show us you’re not just another candidate; demonstrate how your skills align with our goal of making preventative care accessible.
✨Tip Number 3
Practice your storytelling! Be ready to share specific examples of your past work, especially around retention analytics and LTV models. We want to hear how you’ve made an impact in previous roles.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you note can keep you top of mind. Plus, it shows us you’re genuinely interested in being part of our mission at Neko Health.
We think you need these skills to ace CRM Analyst — Retention & Lifecycle
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of CRM Analyst. Highlight your experience in retention analytics, LTV modelling, and any relevant tools you've used. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're passionate about preventative care and how you can contribute to our team. Share specific examples of your past work that relate to retention strategies and insights.
Show Off Your Analytical Skills: Since this role is all about data, don’t shy away from showcasing your SQL and Python/R expertise. Mention any complex queries or predictive models you've built, as we love seeing those skills in action!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get the best experience possible. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Neko Health
✨Know Your Numbers
Make sure you brush up on your analytics skills, especially around retention metrics and LTV models. Be ready to discuss specific examples of how you've used SQL or Python/R to drive insights in previous roles. This will show that you can hit the ground running.
✨Showcase Your Strategic Mindset
Prepare to talk about how you've owned the narrative in past projects. Think of instances where you've proactively surfaced insights or recommended actions based on your analysis. This role is all about strategy, so demonstrate that you can think beyond just the numbers.
✨Experimentation is Key
Since this role involves driving experimentation, come prepared with examples of A/B tests or other experiments you've conducted. Discuss what you learned from these tests and how they impacted retention metrics. This will highlight your hands-on experience and strategic thinking.
✨Visual Storytelling Matters
Familiarise yourself with BI tools like Tableau or Looker, and be ready to discuss how you've used them to create dashboards that tell a story. Being able to visually communicate your findings is crucial, so think of ways to showcase your ability to make data accessible and actionable.