Data analyst in digital healthcare

We believe healthcare should be accessible, dependable and affordable for everyone. Now part of Hims & Hers Health, Inc., one of the fastest-growing digital health companies in the world, we’re entering an exciting new chapter as we expand our reach and accelerate our impact. Our team of Doctors, Engineers, Patient Care Advisors, Pharmacists, Marketers, Product Managers, UX Designers, Commercial, and Operations Specialists work together to build digital healthcare that truly fits around our patients’ lives.

• Evaluate product funnels and the patient journey through a standardised, systematic framework driven by evidence-based insights. Own product and funnel analytics end to end, partnering with product leadership to set quarterly priorities and turn patient journey insight into sized opportunities, tracking standards and clear recommendations.
• Own the A/B testing framework and programme (standards, prioritisation, SiteSpect management), acting as the business’s go-to authority on experimentation. Lead cross-functional sessions that share results and learnings, and continuously improve the process.
• Deeply analyse user funnels, feature adoption, and retention cohorts to uncover core drivers of business growth. Translate complex behavioural data into clear commercial insights, identifying high-leverage opportunities to optimise monetisation and user experience.
• Work backwards from commercial objectives, challenge assumptions, recommend concrete actions with trade-offs, and follow up to check whether the decision worked.
• Design and evaluate experiments, launches and operational changes, using cohort analysis and causal methods to make credible claims even when evidence is incomplete.
• Turn frequent investigations into trusted metrics, models, monitoring, automated diagnostic workflows, AI skill writing, and self-service tools, with shared definitions across markets.
• Use AI and modern BI tools to create dashboards, visualisations, and automated workflows that bring key metrics to life, accelerating exploration and repetitive investigation while maintaining full ownership of data accuracy and underlying assumptions.
• Become a trusted analytical partner to stakeholders, independently owning material commercial questions and improving the reliability and usability of core metrics, models and analytical workflows
• Supporting the wider business by helping to define meaningful, relevant and easily understood KPIs around product performance
• Inspiring others to love and use data through effective storytelling
• Presenting insights and opportunities in a clear manner such that product design is based on objective evidence wherever possible
• Demonstrate faster learning cycles through early delivery, iteration and thoughtful use of AI tools

• Exceptional analytical problem-solving skills, with a proven track record of prioritising effectively and thriving in fast-paced environments.
• Experimentation and product analytics expertise. Experience with funnels, cohorts, experimentation and statistical inference, including the limits of observational data and how to communicate uncertainty.
• Intermediate SQL experience. Confidence in writing efficient SQL queries on large-scale datasets in data warehouses (AWS Redshift, MySQL) with practical Python proficiency.
• Experience in commercial analytics: acquisition, retention and customer lifetime value modeling.
• Experience utilising AI-driven capabilities within modern BI tools (e.g., Tableau, Looker, Lightdash, Power BI) to streamline analytical workflows and extract actionable insights.
• Understanding of e-commerce funnels & event tracking, event-level data,
• Prioritise competing requests based on impact and effort, and confidently push back to stakeholders, with evidence and clear trade-offs, when a request isn’t the best use of the team’s time.
• Ability to structure messy problems, separate drivers from noise, and know when more precision isn’t worth the time.
• Ownership and influence: Independently lead important analyses, build relationships with senior stakeholders, and challenge the prevailing view when needed.
• Systems mindset: Spot patterns in repeated requests and create durable solutions, with semantic metrics, BI or data modelling experience valued.
• A self-learner who is flexible and open to change.
• Ship and learn quickly: Deliver useful intermediate answers early, make uncertainty visible, seek feedback and iterate rather than wait for a polished one-off analysis.
• Raise the analytical bar: Review others’ work constructively, share methods openly, and question weak conclusions.
• Будет плюсом: Working with modern data stacks, for example, BigQuery, AWS Redshift, dbt, Looker, Tableau, Lightdash, MCP; Working with events/web tracking tools (Segment/Google Analytics); Experience with marketing (AdWords, Paid Search, etc.), product or operational analytics; Experience with version control (we use Git); Healthcare or digital healthcare experience

• 33 days per annum pro-rata (inclusive of public and bank holidays) + birthday off
• Free access to Wellness Cloud, advice, counselling, and corporate discounts
• Healthcare cashback plan through SimplyHealth
• 20% off all select ZAVA products & services for you and your friends and family
• Remote, hybrid, and flexible working
• MacBook Pro
• Flexible bank holidays - take the ones that matter the most to you.
• £500 training budget per year
• Vitality Private Health Insurance + Vitality discounts & headspace membership
• Workplace Nursery Salary Sacrifice Scheme
• Pension Salary Sacrifice Scheme
• Company sabbatical after 2 years
• Opportunity to work from overseas for 2 months each year
• Gift vouchers after 3, 5, and 10 years of service