🕒 10 days ago
Define product and agent metrics, design experiments, and analyze model and product performance to guide Product, Engineering, and Machine Learning decisions and improve customer outcomes.
Lead Growth Product Analyst
🕒 4 days ago
SQLLookerPythonA/B Testing
📜 Description
- Own growth squad analytics across acquisition, conversion, retention and lifetime value, explaining what is working and why.
- Design and evaluate experiments across products, propositions, offers and pricing, including A/B tests and holdouts.
- Assess initiatives against unit economics such as CAC, contribution margin and LTV:CAC.
- Analyse marketing channel mix, attribution and acquisition efficiency with the marketing team.
- Segment customers and prospects to inform targeted propositions and journeys, and track early engagement and retention.
- Shape growth priorities, own scorecard metrics and present clear findings and recommendations to stakeholders.
🛠️ Requirements
- Several years of experience in product, growth or marketing analytics; subscription, D2C or digital health experience is preferred.
- Demonstrated analysis that influenced decisions and improved commercial metrics.
- Expert SQL skills and confidence with a BI tool such as Looker; Python or R for deeper analysis.
- Strong experimentation skills, including test design, sample sizing, statistical significance and incrementality.
- Understanding of subscription economics, including cohorts, retention curves, CAC, contribution margin and LTV.
- Experience with marketing measurement, attribution, channel performance and spend efficiency.
- Familiarity with product analytics tools such as Amplitude or Mixpanel, and funnel and behavioural analysis.
- Ability to communicate recommendations clearly, apply commercial judgement and work with imperfect data.
✨ Benefits
- Include...
- 📈 - Share options.
- 🏖 - 25 days holiday, plus bank holidays (increasing to 30 the longer you stay with Numan).
- 🩺 - Health insurance with Vitality.
- 🚘 - Electric car salary sacrifice scheme with Octopus.
- 🧸 - Enhanced maternity and parental leave.
- 🥳 - A day off on your Birthday!
- 🐥 - Nursery benefit provided by YellowNest.
Full job description
About Numan
Founded in 2018, we’ve already grown to be a 300+ team distributed across the globe, united by a singular mission: empowering people to take control of their health.
Numan is transforming health: we’ve built a cutting-edge platform that integrates diagnostics, medication, supplements, digital programmes, and doctor consultations. Giving people the tools they need to maximise life.
To deliver on our transformative mission, we are guided by our 5 company values:
• Patients first.
• Learn fast.
• Own the quality.
• Succeed together.
• Care deeply.
Backed by top-tier investors, Numan is already having a positive impact on hundreds of thousands of patients here in the UK, and we want you to help us deliver this mission!
This is a high-impact role, central to a fast-moving, highly iterative, data-obsessed squad. As an individual contributor, reporting to and partnering with the Principal Product Manager for Growth, you’ll have a growth mentality, driven by moving the metrics that matter across acquisition, lifetime value and customer experience.
The role touches on marketing channel mix, segmentation, acquisition efficiency, propositions and pricing, and setting customers up for success as they start their weight loss journey. You’ll quickly learn the market, the personas, the unit economics and the bigger picture.
The Role:
Own the analytics for the growth squad across acquisition, conversion, retention and lifetime value, and be the go-to person for what’s working and why.
Design, run and evaluate experiments on the product, propositions, offers and pricing. That includes A/B tests and holdouts that measure true incrementality, not just uplift of a subset of customers.
Leverage the Finance and Data Teams view of unit economics (CAC, contribution margin, LTV:CAC), adhering to the existing artifacts and definitions, and show how every initiative moves those numbers.
Analyse marketing channel mix and acquisition efficiency with the marketing team, including attribution and spend allocation.
Segment customers and prospects by persona, behaviour and expected value, and turn those segments into targeted propositions and journeys. Leveraging data science predictions where they can add value.
Track early-journey behaviour such as first-month engagement, commitment take-up and early retention, and find the levers that set patients up for long-term success.
Shape the growth roadmap with the Principal PM, sizing opportunities and prioritising by expected impact on tier-one metrics.
Present results, wins and failures to leadership and stakeholders clearly and regularly, with a recommendation every time.
Work with BI, data engineering, commercial and pricing, take ownership of a set of scorecard metrics, and be able to understand and articulate drivers to their movement and fluctuations.
Keep all analysis and experimentation inside clinical, data protection and advertising rules, working with the clinical and compliance teams where appropriate.
You'll need:
Several years in product, growth or marketing analytics, ideally in a subscription, D2C or digital health business.
A track record of analysis that changed decisions and moved commercial metrics, with clear examples.
Expert SQL and confident use of a BI tool such as Looker. Python or R for deeper analysis.
Strong experimentation skills, including test design, sample sizing, statistical significance, incrementality and pitfalls such as novelty effects and cannibalisation.
A solid grasp of subscription economics: cohorts, retention curves, CAC, contribution margin and LTV.
Experience with marketing measurement, such as attribution models, channel performance and spend efficiency.
Comfort with product analytics tools such as Amplitude or Mixpanel, and with funnel and behavioural analysis.
The ability to turn messy questions into a clear recommendation, and to explain it simply to non-technical audiences.
Commercial judgement and a bias to action: you’re comfortable deciding with imperfect data and saying when you were wrong.
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