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Lead Data Analyst - Growth & Retention at PetLab Co.. 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.. . What We're Looking For. . . 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 Coud Platform. . Understanding of causal inference techniques and uplift modeling.. . Company Location: United Kingdom.