Growth product analyst in digital health in London

Growth product analyst in digital health in London

London Full-Time 63000 - 77000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Drive growth through analytics, experiments, and insights in digital health.
  • Company: Join a fast-growing digital health company on a mission to empower individuals.
  • Benefits: Share options, 25+ days holiday, health insurance, and flexible working.
  • Other info: Dynamic team culture with excellent career development opportunities.
  • Why this job: Make a real impact on people's health while developing your analytical skills.
  • Qualifications: Experience in product or marketing analytics, strong SQL skills, and a knack for experimentation.

The predicted salary is between 63000 - 77000 £ per year.

Описание

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.

Задачи

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.

Требования

  • 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.

Условия

  • 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 Yellow Nest .
  • Employee assistance programme (access to therapy, financial planning and discounts).
  • Generous pension (includes both employee and employer contributions).
  • Flexible working options, including a dog-friendly office in Farringdon.
  • Personal training and development budget via Learnerbly.
  • Wellhub membership, giving you access to over 2,000 locations in the UK.
  • Cycle to work scheme.
  • Season ticket loan.
  • Discount on Numan products for your friends and family.
  • Paid volunteering days.
  • An additional 2 weeks off once you reach your 5th anniversary with Numan.

Growth product analyst in digital health in London employer: Numan

Numan is an exceptional employer that prioritises innovation and security in the digital health space. With a collaborative work culture that encourages professional growth, employees have the unique opportunity to influence security practices across various teams, ensuring a meaningful impact on health technology. Located in a dynamic environment, Numan offers competitive benefits and a commitment to employee development, making it an attractive place for those seeking rewarding careers in product security.

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Contact Details:

Numan Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Growth product analyst in digital health in London

✨Get Involved in Data Science Meetups

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Numan.

✨Apply Directly through Our Website

When you find a suitable opening like Growth product analyst in digital health at Numan, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Growth product analyst in digital health in London

Analytical Skills
A/B Testing
SQL
Business Intelligence Tools
Python
R
Experimentation Skills

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Numan, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Numan. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Numan

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Numan!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.