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- Tasks: Lead the growth analytics strategy and manage a high-performing analytics team.
- Company: Join a top D2C scale-up redefining personalised health with a £50B+ category.
- Benefits: Enjoy a competitive salary, hybrid work options, and outstanding benefits.
- Why this job: Make a real impact in a fast-growing company focused on data-driven decisions.
- Qualifications: 9+ years in data/analytics, with leadership experience and expertise in SQL and dbt.
- Other info: Opportunity for rapid career progression to Head of Analytics Engineering.
The predicted salary is between 80000 - 120000 £ per year.
Own the Strategy | D2C Scale-Up | £50B+ Category | Central London / Hybrid | £100,000 - £110,000 + Outstanding Benefits
One of the UK’s most successful D2C scale-ups is hiring a Lead Analytics Engineer to take full ownership of their analytics strategy, with a clear and fast path to becoming Head of Analytics Engineering. This is your chance to drive a purpose-led, tech-first business that’s redefining personalised health. They’re already the UK’s #1 in their category, with hundreds of thousands of active monthly users – and they’re just getting started.
What makes this different:
This isn’t just another analytics role. You’ll lead the entire growth analytics strategy, from how performance is measured, to how spend is optimised and how data is activated across the customer lifecycle. You’ll build, scale and shape everything: the tooling, the models, the team, the roadmap.
It’s a high-impact, high-autonomy position at a business that’s expanding fast (new wellness verticals + international growth into the US & Europe), and where data is central to product, marketing, and customer experience.
What you’ll own:
- Full strategic ownership of growth analytics – Attribution, CAC, LTV, Forecasting, Churn, and more
- Development and maintenance of a modern data stack (BigQuery, dbt, Fivetran, Looker, Hex – with full freedom to reshape)
- Line management and mentoring of a high-performing analytics team, with scope to grow the function
- High-impact stakeholder engagement – turning complex data into decisions across marketing, product, ops & finance
- Championing a test-and-learn culture: A/B testing, experimentation and insight-led product decisions
About you:
- 9+ years in data/analytics with deep expertise in SQL and dbt (Python or R a bonus)
- 3+ years in a leadership or lead individual contributor role, ideally within a high-growth D2C or product-led business
- Experience driving commercial outcomes via growth data strategy and modelling
- Proven ability to influence, excite, and align stakeholders around data-driven initiatives
- A strategic thinker who can get hands-on when needed – builder, operator, leader
Salary: £100,000 - £110,000 + Amazing benefits
Location: Central London / Hybrid
Sound interesting? Please apply to hear more information!
Contact Detail:
Identify Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analytics Engineer (City of London)
✨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 a solid understanding of these platforms will help you stand out during discussions.
✨Tip Number 2
Prepare to discuss your previous experiences in leading analytics teams and driving growth strategies. Be ready to share specific examples of how your leadership has influenced commercial outcomes in past roles.
✨Tip Number 3
Showcase your ability to engage with stakeholders effectively. Think of instances where you've turned complex data into actionable insights for different departments, as this is crucial for the role.
✨Tip Number 4
Demonstrate your strategic thinking by preparing ideas on how you would approach the growth analytics strategy for the company. This could include thoughts on attribution models or customer lifecycle optimisation.
We think you need these skills to ace Lead Analytics Engineer (City of London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics and leadership roles. Emphasise your expertise in SQL, dbt, and any experience with tools like BigQuery or Looker, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven decision-making and how you can contribute to the company's growth analytics strategy. Mention specific examples of past successes in similar roles to demonstrate your capability.
Showcase Leadership Experience: Highlight your leadership experience in your application. Discuss how you've managed teams, mentored others, and driven strategic initiatives in previous positions, especially in high-growth environments.
Demonstrate Strategic Thinking: Use your application to illustrate your strategic thinking skills. Provide examples of how you've influenced stakeholders and made data-driven decisions that led to significant commercial outcomes.
How to prepare for a job interview at Identify Solutions
✨Showcase Your Strategic Thinking
As a Lead Analytics Engineer, you'll need to demonstrate your ability to think strategically about growth analytics. Prepare examples of how you've previously shaped analytics strategies and influenced business outcomes, particularly in high-growth environments.
✨Highlight Technical Expertise
Make sure to discuss your deep expertise in SQL and dbt, as well as any experience with tools like BigQuery, Looker, or Fivetran. Be ready to explain how you've used these technologies to drive insights and decisions in past roles.
✨Prepare for Stakeholder Engagement
This role requires high-impact stakeholder engagement, so be prepared to discuss how you've successfully communicated complex data insights to non-technical stakeholders. Share specific instances where your data-driven recommendations led to significant business decisions.
✨Demonstrate Leadership Skills
Since you'll be managing and mentoring a team, it's crucial to showcase your leadership experience. Discuss your approach to building high-performing teams and how you've fostered a culture of experimentation and learning in previous positions.
