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- Tasks: Lead analytics strategy and build a modern data stack to drive health outcomes.
- Company: Join a top UK health brand focused on preventative care and personalised wellbeing.
- Benefits: Enjoy a competitive salary of £110,000 plus exceptional benefits and hybrid work options.
- Why this job: Make a tangible impact on health while shaping a data-driven culture in a fast-growing company.
- Qualifications: 9+ years in analytics or data engineering with strong SQL and dbt skills required.
- Other info: This role offers autonomy and the chance to lead a high-performing analytics team.
The predicted salary is between 66000 - 88000 £ per year.
Join a next-generation D2C health brand that’s reshaping the future of preventative care and personalised wellbeing. Backed by strong funding and a passionate user base, this is a company on a mission to make better health accessible, measurable, and sustainable for all.
They are now hiring a Head of Analytics Engineering, in a company where data drives every key decision.
Why this role is different:
This isn’t just any 'Head of' role; it’s a chance to shape the data foundation of a business that’s doing good and scaling fast. You’ll own everything from growth attribution and forecasting to how health behaviours are measured, understood, and improved across hundreds of thousands of users.
The product is meaningful. The team is ambitious. And the impact you’ll have? Tangible, measurable, and rooted in wellness.
What you’ll lead:
- Full strategic ownership of analytics across growth, health outcomes, customer journeys and commercial metrics
- Building and evolving the modern data stack (BigQuery, dbt, Fivetran, Looker, Hex – with full autonomy to optimise)
- Managing and growing a high-performing analytics team
- Driving business-wide decision-making through experimentation, modelling, and insight
- Embedding a data-first culture across product, marketing, ops, and finance
About you:
- 9+ years in analytics or data engineering, with deep SQL and dbt expertise (Python/R a bonus)
- Experience in a fast-growing D2C brand
- Strong commercial acumen – comfortable working across CAC, LTV, churn, forecasting, etc.
- Confident engaging with senior stakeholders and shaping company-wide strategy
- A hands-on builder with leadership experience – you enjoy solving problems as much as scaling systems
This is your opportunity to use data to drive meaningful outcomes, for the business, and for the lives of its users.
Salary: £110,000 + Amazing benefits
Location: Central London / Hybrid
Sound interesting? Please apply to hear more information!
Head of Analytics Engineering (,, United Kingdom) employer: Placed
Contact Detail:
Placed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Analytics Engineering (,, United Kingdom)
✨Tip Number 1
Familiarise yourself with the latest trends in analytics engineering, especially in the health tech sector. Understanding how data is being used to drive decision-making in similar companies can give you an edge during discussions.
✨Tip Number 2
Network with professionals in the health tech and analytics fields. Attend industry events or webinars to connect with potential colleagues or mentors who can provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully implemented data-driven strategies in previous roles. Highlight your experience with tools like BigQuery, dbt, and Looker to demonstrate your technical expertise.
✨Tip Number 4
Showcase your leadership skills by discussing how you've built and managed high-performing teams. Be ready to explain your approach to fostering a data-first culture and how it has positively impacted past projects.
We think you need these skills to ace Head of Analytics Engineering (,, United Kingdom)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics and data engineering. Focus on your achievements in previous roles, especially those that demonstrate your ability to drive business decisions through data.
Craft a Compelling Cover Letter: In your cover letter, express your passion for health tech and how your skills align with the company's mission. Mention specific tools and technologies you have experience with, such as BigQuery or dbt, to show you’re a perfect fit for the role.
Showcase Leadership Experience: Since this role involves managing a high-performing team, be sure to include examples of your leadership experience. Discuss how you've successfully led teams in the past and contributed to a data-driven culture.
Highlight Commercial Acumen: Demonstrate your understanding of key commercial metrics like CAC, LTV, and churn in your application. Use specific examples from your past work to illustrate how you've used these metrics to inform strategy and decision-making.
How to prepare for a job interview at Placed
✨Showcase Your Analytical Expertise
Prepare to discuss your experience with analytics and data engineering in detail. Be ready to share specific examples of how you've used SQL and dbt to drive business decisions, especially in a D2C context.
✨Demonstrate Leadership Skills
Highlight your leadership experience by discussing how you've managed teams and projects. Share instances where you’ve successfully built or scaled analytics systems, as this role requires a hands-on builder.
✨Understand the Company’s Mission
Familiarise yourself with the company’s purpose-driven approach to health and wellbeing. Be prepared to articulate how your values align with theirs and how you can contribute to their mission of making better health accessible.
✨Engage with Strategic Thinking
Be ready to discuss your understanding of key metrics like CAC, LTV, and churn. Prepare to explain how you would approach growth attribution and forecasting, showcasing your commercial acumen and strategic mindset.
