Lead Data Analyst
Role details
Job location
Tech stack
Job description
The RoleAs 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.
Requirements
Your Skills and ExperienceYou 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.
Benefits & conditions
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.