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- Tasks: Lead analytics engineering to shape data strategies and drive impactful decisions.
- Company: Join a purpose-driven health tech brand revolutionising preventative care and wellbeing.
- Benefits: Enjoy a hybrid work model and exceptional benefits, including competitive salary.
- Why this job: Be part of a mission-driven company making health accessible and measurable for everyone.
- Qualifications: 9+ years in analytics or data engineering with strong SQL and dbt skills required.
- Other info: Full autonomy to optimise the modern data stack and embed a data-first culture.
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. 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.
- 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).
- Embedding a data-first culture across product, marketing, ops, and finance.
Requirements:
- 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.
This is your opportunity to use data to drive meaningful outcomes, for the business, and for the lives of its users.
Location: Central London / Hybrid
Senior Data Analytics Manager / Hybrid employer: Identify Solutions
Contact Detail:
Identify Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analytics Manager / Hybrid
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as BigQuery, dbt, and Looker. Having hands-on experience or even completing relevant online courses can give you a significant edge during discussions.
✨Tip Number 2
Showcase your understanding of the D2C landscape by researching current trends and challenges in health tech. Being able to discuss these insights during interviews will demonstrate your passion and knowledge about the industry.
✨Tip Number 3
Prepare to discuss how you've previously used data to drive business outcomes. Think of specific examples where your analytics work led to measurable improvements in customer journeys or commercial metrics.
✨Tip Number 4
Network with professionals in the health tech and analytics fields. Engaging with industry events or online forums can help you make valuable connections and potentially get referrals for the role.
We think you need these skills to ace Senior Data Analytics Manager / Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in analytics and data engineering, particularly focusing on your expertise with SQL and dbt. Mention any relevant projects or roles in fast-growing D2C brands to align with the company's needs.
Craft a Compelling Cover Letter: In your cover letter, express your passion for health tech and how your skills can contribute to the company's mission of redefining wellbeing. Use specific examples from your past experiences that demonstrate your strategic ownership in analytics.
Showcase Your Technical Skills: If you have experience with tools like BigQuery, Fivetran, or Looker, make sure to include this in your application. Highlight any projects where you built or optimised data stacks, as this is crucial for the role.
Demonstrate Commercial Acumen: Provide examples of how you've worked with key commercial metrics such as CAC, LTV, and churn in your previous roles. This will show that you understand the business side of analytics and can drive meaningful outcomes.
How to prepare for a job interview at Identify Solutions
✨Showcase Your Data Expertise
Make sure to highlight your extensive experience in analytics and data engineering. Be prepared to discuss specific projects where you've used SQL and dbt, and how these skills have contributed to business outcomes.
✨Understand the Company’s Mission
Familiarise yourself with the company's purpose-driven approach to health and wellbeing. Demonstrating a genuine interest in their mission will show that you align with their values and are passionate about making a difference.
✨Prepare for Strategic Discussions
Since this role involves full strategic ownership of analytics, be ready to discuss how you would approach building and evolving the modern data stack. Think about how you can embed a data-first culture across various departments.
✨Demonstrate Commercial Acumen
Be prepared to talk about key commercial metrics such as CAC, LTV, and churn. Show that you understand how these metrics impact the business and how your analytical insights can drive meaningful outcomes.
