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- Tasks: Lead analytics strategy and build a modern data stack to drive impactful decisions.
- 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 real difference in health outcomes while working with an ambitious and passionate team.
- Qualifications: 9+ years in analytics or data engineering with strong SQL and dbt skills required.
- Other info: This role offers full autonomy to shape the data foundation of a fast-growing company.
The predicted salary is between 66000 - 77000 £ 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 (City of London) employer: Identify Solutions
Contact Detail:
Identify Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Analytics Engineering (City of London)
✨Tip Number 1
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 2
Familiarise yourself with the latest trends in data analytics and engineering, especially within the D2C sector. Being able to discuss current innovations and how they can be applied to the role will demonstrate your passion and expertise.
✨Tip Number 3
Prepare to showcase your leadership skills by thinking of examples where you've successfully built and managed a team. Highlighting your experience in fostering a data-driven culture will resonate well with the hiring team.
✨Tip Number 4
Research the company's mission and values thoroughly. Be ready to articulate how your personal values align with theirs, particularly in terms of making health accessible and sustainable, as this will show your genuine interest in the role.
We think you need these skills to ace Head of Analytics Engineering (City of London)
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 the impact your leadership had on projects.
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 decision-making.
How to prepare for a job interview at Identify Solutions
✨Showcase Your Analytical Expertise
Be prepared to discuss your experience with SQL and dbt in detail. Highlight specific projects where you've used these tools to drive insights or improve processes, as this role heavily relies on technical skills.
✨Demonstrate Commercial Acumen
Familiarise yourself with key metrics like CAC, LTV, and churn. Be ready to discuss how you've used these metrics in previous roles to influence decision-making and strategy.
✨Engage with Stakeholders
This position requires confidence in engaging with senior stakeholders. Prepare examples of how you've successfully communicated complex data insights to non-technical audiences in the past.
✨Emphasise Leadership and Team Building
As a head of analytics, you'll need to lead a team. Share your leadership philosophy and provide examples of how you've built high-performing teams and fostered a data-driven culture in previous roles.
