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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 hybrid work, competitive salary, and exceptional perks.
- Why this job: Be part of a mission-driven company making health accessible and measurable for everyone.
- Qualifications: 9+ years in analytics with strong SQL skills; D2C experience preferred.
- 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
SQL / Python Analytics Manager employer: Identify Solutions
Contact Detail:
Identify Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SQL / Python Analytics Manager
✨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 your previous experiences in analytics and how they relate to commercial metrics like CAC and LTV. Be ready to provide examples of how your data-driven decisions have positively impacted business outcomes.
✨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 that might lead to referrals or insider information about the role.
We think you need these skills to ace SQL / Python Analytics Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in analytics and data engineering, particularly your expertise in SQL and dbt. Include specific examples of how you've used data to drive business outcomes, especially in a D2C context.
Craft a Compelling Cover Letter: In your cover letter, express your passion for health tech and how you align with the company's mission. Discuss your strategic vision for analytics and how you can contribute to building a data-first culture within the organisation.
Showcase Relevant Projects: If applicable, include a portfolio or links to projects that demonstrate your skills in building modern data stacks and using analytics tools like BigQuery, dbt, and Looker. This will provide tangible evidence of your capabilities.
Highlight Soft Skills: Don't forget to mention your soft skills, such as leadership and communication. As a Head of Analytics Engineering, you'll need to collaborate across various departments, so showcasing your ability to work with teams is crucial.
How to prepare for a job interview at Identify Solutions
✨Showcase Your Technical Skills
Make sure to highlight your deep expertise in SQL and dbt during the interview. Prepare specific examples of how you've used these tools to drive analytics and decision-making in previous roles, especially in a fast-growing D2C environment.
✨Demonstrate Strategic Thinking
This role requires 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 and be prepared to share your vision.
✨Understand the Business Metrics
Familiarise yourself with key commercial metrics such as CAC, LTV, and churn. Be prepared to discuss how you have used these metrics in past roles to influence business decisions and outcomes, showcasing your strong commercial acumen.
✨Align with the Company’s Mission
Since this company is focused on preventative care and personalised wellbeing, express your passion for health tech and how your values align with their mission. Share any relevant experiences that demonstrate your commitment to making a positive impact through data.
