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.
We've provided over 14 million consultations across the UK, Germany, France, Spain and Ireland, helping patients access convenient, affordable healthcare online. With the support of Hims & Hers, we're scaling our vision to become a global leader in digital healthcare.
About the role
We're looking for a proactive and commercially minded Senior Data Analyst to help shape business decisions through data.
Working closely with senior stakeholders across Product, Growth, Operations and Finance, you'll own important analytical challenges end to end – from identifying opportunities and investigating root causes to making recommendations and measuring their impact.
This isn't just a reporting role. We need someone who can challenge assumptions, uncover meaningful trends, translate complex data into actionable insights and build scalable analytical solutions. You'll also champion experimentation, product analytics and the effective use of AI to accelerate how we work. You'll primarily focus on UK business priorities while collaborating with analytics colleagues across the wider Hims & Hers Group.
What you'll be doing
- Product and funnel analytics: Own analysis of product performance, patient journeys, conversion funnels, feature adoption and retention, identifying opportunities to improve user experience and commercial performance.
- Experimentation: Own and develop our A/B testing framework and programme, including standards, prioritisation and SiteSpect management. Share results and learnings across teams and continuously improve our approach.
- Commercial insights: Partner with senior stakeholders to investigate business performance, identify growth opportunities and translate complex analysis into clear recommendations.
- Drive decision-making: Challenge assumptions, prioritise opportunities based on commercial impact, communicate trade-offs and track whether recommendations deliver results.
- Measure impact: Evaluate experiments, product launches and operational changes using cohort analysis, statistical inference and appropriate analytical methods.
- Build scalable solutions: Turn recurring analytical requests into reliable metrics, data models, automated monitoring, diagnostic workflows and self-service tools.
- Embrace AI and innovation: Use AI and modern BI tools to build dashboards, visualisations and automated workflows, accelerating analysis while maintaining ownership of data quality and accuracy.
- Be a trusted partner: Build strong relationships with stakeholders, influence decisions and help establish meaningful, consistent KPIs across the business.
What we're looking for
We're looking for someone who combines strong technical ability with commercial thinking, curiosity and the confidence to influence stakeholders.
You’ll bring:
- Strong analytical and problem-solving skills, with experience independently owning complex analyses and prioritising competing demands.
- Product analytics and experimentation experience, including funnels, cohorts, A/B testing, statistical inference and understanding the limitations of observational data.
- Intermediate SQL skills, with confidence writing efficient queries against large datasets (e.g. AWS Redshift or MySQL).
- Practical Python proficiency.
- Commercial analytics experience, ideally covering customer acquisition, retention and customer lifetime value.
- Experience with modern BI tools such as Tableau, Looker, Lightdash or Power BI, including using AI-driven capabilities to accelerate analytical workflows.
- Understanding of e-commerce funnels, event tracking and event-level data.
- The ability to structure ambiguous problems, distinguish meaningful trends from noise and focus on the analysis that will have the greatest impact.
- Confidence working with senior stakeholders, challenging assumptions, pushing back on low-value requests and communicating evidence-based recommendations.
- A systems mindset: identifying recurring questions and building scalable, repeatable solutions rather than repeatedly solving the same problems.
- Strong communication and storytelling skills, making complex insights accessible and inspiring others to use data in their decision-making.
- A proactive, adaptable approach, with a willingness to deliver early findings, seek feedback and continuously improve.
- An interest in using AI tools to improve productivity, accelerate learning and raise the standard of analytical work.
Nice to have, but not essential
- Experience with modern data stacks such as BigQuery, AWS Redshift, dbt, Looker, Tableau, Lightdash or MCP.
- Familiarity with event tracking and web analytics tools such as Segment or Google Analytics.
- Experience in marketing (e.g. AdWords or paid search), product or operational analytics.
- Experience with version control tools such as Git.
Our values
Our values shape how we work and what we look for in our colleagues:
- Humble: You listen, learn from feedback and treat others with kindness and care.
- Inquisitive: You challenge the status quo and explore new possibilities.
- Resilient: You embrace change and face challenges.
- Macher: You take initiative, find solutions and look for ways to improve.
- Collaborative: You share ideas and work together to achieve our goals.
What we offer
Benefits from day one:
- 33 days annual leave (inclusive of public and bank holidays), plus your birthday off.
- Free access to Wellness Cloud, including advice and counselling, plus corporate discounts.
- Healthcare cashback plan through SimplyHealth.
- 20% off selected ZAVA products and services for you, friends and family.
- Remote, hybrid and flexible working.
- MacBook Pro.
- Flexible bank holidays – take the days that matter most to you.
Additional benefits after probation:
- £500 annual training budget.
- Vitality Private Health Insurance, Vitality discounts and Headspace membership.
- Workplace Nursery Salary Sacrifice Scheme.
- Pension Salary Sacrifice Scheme.
- Company sabbatical after two years of service.
- Opportunity to work from overseas for up to two months each year.
- Gift vouchers after 3, 5 and 10 years of service.
If you're a curious, commercially minded analyst who enjoys solving complex problems, influencing decisions and using data to make a real difference, we'd love to hear from you!
ZAVA is an equal opportunities employer and welcomes applications from all backgrounds. Reasonable adjustments are available on request.