Lead Data Analyst

Lead Data Analyst
London, Hybrid (1-2x per week)
Up to £65,000

This is an exciting opportunity to join a high-growth organisation where data science directly shapes performance marketing strategy. You will lead a growing data science function, drive long-term analytical programmes, and play a key role in delivering meaningful commercial impact for well-known consumer brands.

The Company
They are a specialist performance marketing and technology business known for combining deep analytical expertise with innovative data products. With a rapidly expanding team and a strong track record of industry recognition, they partner with major consumer brands to solve complex measurement, forecasting, and modelling challenges. Their culture is collaborative, modern, and driven by delivering high-quality work that genuinely moves the needle for clients. As they scale, they are investing heavily in data science, experimentation, and advanced analytics.

The Role
As Lead Data Analyst, you will oversee a team of data scientists and work closely with senior stakeholders across analytics, data engineering, and technology. You will:

• Lead experimentation and measurement initiatives including incrementality testing, geo-based studies, brand lift approaches, and causal inference.


• Own advanced modelling projects such as MMM, LTV modelling, propensity scoring, and predictive forecasting.


• Deploy models into cloud environments and integrate into advertising platforms including Google and Meta.


• Guide long-term analytical roadmaps and ensure projects drive measurable commercial impact.


• Partner with high-profile clients, often with direct access to raw data, applying rigorous analytical thinking to real-world marketing challenges.


• Mentor and support a growing team of data scientists as they expand through the year.

Your Skills and Experience
You will bring:

• Strong commercial experience with SQL.


• Deep knowledge of experimentation methodologies such as incrementality, causal inference, geo testing, or brand lift studies.


• Hands-on experience with MMM, LTV modelling, and propensity modelling.


• Ability to deploy and maintain models in cloud environments and integrate with marketing platforms.


• Experience delivering impactful, long-term analytics or data science projects.


• Management or mentoring experience is desirable, but they are also open to strong individual contributors ready to step up.


• Exposure to attribution modelling is a bonus.

What They Offer

• Salary up to £65,000.


• Hybrid working with one day per week in their London office.


• The opportunity to lead a growing data science function with genuine ownership and influence.


• Work with large-scale datasets from major consumer brands.


• A culture that invests in innovation, long-term thinking, and high-impact analytics.

How to Apply
If you are ready to take the next step in your data science career, apply today to find out more.

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