Lead Data Analyst - Growth & Retention

Location: Remote (1 Day per month in London office)

Department: Data

Reports to: Director of Data

About The Role

We’re looking for a Lead Data Analyst to join our Growth team and play a key role in maximizing both customer acquisition and retention across the business. You’ll work closely with growth, product, and analytics stakeholders to uncover insights, build predictive models, and drive high-impact decision-making through experimentation and forecasting. This is a high-visibility role where your work will directly influence business strategy, growth initiatives, and long-term customer value. Our data warehouse is hosted in Big Query and we use Power BI as our visualisation tool.

What You'll Do

• Develop and maintain robust LTV (Lifetime Value) forecasting models to inform marketing spend and retention strategies.
• Build demand forecasting models to ensure demand planning aligns with acquisition and retention trends.
• Design, run, and analyse A/B tests and multivariate experiments across acquisition funnels, onboarding flows, and retention programs.
• Collaborate with cross-functional teams to translate business goals into data-driven solutions.
• Communicate insights clearly and effectively to technical and non-technical stakeholders.
• Delve into large-scale datasets using SQL and perform advanced statistical techniques in Python.
• Continuously evaluate and improve existing models and testing frameworks to increase predictive accuracy and business impact.

How Will Your Time Be Spent?

• 30% on Analysis – Mining and analysing customer, growth, marketing, and operations data to uncover insights that inform strategic decisions. This includes building dashboards, running cohort analyses, and identifying trends and anomalies.
• 25% on Data Science & Modelling – Developing predictive models (e.g., churn prediction, CLV forecasting, segmentation models), conducting A/B test analysis, and applying machine learning to solve real business problems. Collaborating with engineers to validate and deploy models.
• 20% on Strategy & Stakeholder Collaboration – Partnering with marketing, product, CX, and leadership to understand data needs, guide decision-making, and translate insights into clear business actions. Identifying opportunities for optimization across customer journey touchpoints.
• 15% on Execution & Tooling – Writing SQL/Python code, automating reports, maintaining data pipelines, and improving data infrastructure in collaboration with data engineers.
• 10% on Experimentation & Innovation – Designing and analyzing experiments (e.g., pricing tests, offer variations), researching new techniques or tools, and staying ahead of industry best practices.

Requirements

• 5+ years of experience in data science, ideally in growth, marketing, or product-focused roles.
• Understanding of LTV modeling, forecasting, and experimental design.
• Comprehension of A/B testing methodologies.
• Proficiency in Python for data analysis and modeling (e.g., pandas, scikit-learn, statsmodels).
• Strong SQL skills and experience working with large datasets in modern data environments.
• Experience working with cross-functional growth or marketing teams.
• Competent user of data visualisation tools.
• Comfortable working in fast-paced, agile environments with changing priorities.
• Excellent communication skills with the ability to explain complex topics to non-technical audiences.

Nice to Have

• Experience in e-commerce, subscription services, or other consumer-facing businesses.
• Exposure to tools like DBT or GCP Cloud Platform.
• Understanding of causal inference techniques and uplift modeling.

Benefits

• Private Health Care through Vitality.
• Generous Annual Leave - 28 days + public and bank holidays.
• Flexible Working Hours – We focus on results and trust people to manage their time, whether working from home, while travelling, or in the office!
• Employee Assistance Programme.
• Royal London Pension Scheme – We offer a workplace pension scheme with one of the UK’s leading providers of group pensions. With an employer contribution of 5% through salary sacrifice!
• Enhanced Maternity / Paternity / Adoption Leave – because time with new family members is important!
• Puppy Therapy – working in partnership with Paws in Work to provide a boost of oxytocin twice a year.
• Generous Learning and development budget – We always want you to keep learning.
• Free breakfast, fruits and snacks – refuel and revitalise with free munchies in the office.
• Working Environment – dogs are welcome!
• Life Assurance – In the event of your death, while employed by us, your chosen beneficiaries will be provided with a tax-free lump sum equivalent of four times your basic salary.
• Gympass – All in one subscription bringing you the largest selection of gyms, studios and apps.
• Electric Vehicle Scheme – Employees sacrifice salary in return for a new electric car, typically saving 30-40% of costs through income and tax and national insurance.
• Give Back Day – An extra day off in the year to volunteer plus a £50 contribution to your chosen charity.
• Health Cash Benefit – We offer the bronze package which enables you to claim a certain amount of cashback when you pay for something that is health related, i.e dental.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Information Technology

Industries: Food and Beverage Manufacturing