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Lead Data Analyst - Growth & Retention
PetLab Co.London, England, United Kingdom30+ days ago
Job type
- Full-time
Job description30% 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. 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. Experience in e-commerce, subscription services, or other consumer-facing businesses. Exposure to tools like DBT or GCP Coud Platform Understanding of causal inference techniques and uplift modeling. 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! Help@Hand – 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 with enables you to claim a certain amount of cashback when you pay for something that is health related, i.e dental.
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?
What We're Looking For
Nice to Have
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Lead Data Analyst • London, England, United Kingdom
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