Lead Data Analyst - Growth & Retention

United Kingdom - Remote

Petlab Co.

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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

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.

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!
  • 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.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: A/B testing Agile BigQuery Causal inference CX Data analysis Data pipelines Data warehouse dbt E-commerce GCP Machine Learning Pandas Pipelines Power BI Python Scikit-learn SQL Statistics statsmodels Testing

Perks/benefits: Career development Fitness / gym Flex hours Flex vacation Health care Parental leave

Regions: Remote/Anywhere Europe
Country: United Kingdom

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