Lead Data Analyst

The Petlab Co.; London; Hybrid; GBP 48,000 - 90,000; Full time

Job summary

A leading company in the food and beverage manufacturing sector is seeking a Lead Data Analyst to join their Growth team. This role involves maximizing customer acquisition and retention through data analysis and predictive modeling, directly influencing business strategy. The ideal candidate will have extensive experience in data science, proficiency in SQL and Python, and excellent communication skills to convey insights to stakeholders.

Benefits

Private Health Care through Vitality

Generous Annual Leave - 28 days + public and bank holidays

Flexible Working Hours

Employee Assistance Programme

Royal London Pension Scheme

Enhanced Maternity / Paternity / Adoption Leave

Puppy Therapy

Generous Learning and development budget

Free breakfast, fruits and snacks

Life Assurance

Qualifications

• 5+ years of experience in data science, ideally in growth, marketing, or product-focused roles.
• Proficiency in Python for data analysis and modeling.
• Strong SQL skills and experience working with large datasets.

Responsibilities

• Develop and maintain robust LTV forecasting models.
• Design, run, and analyze A/B tests and multivariate experiments.
• Collaborate with cross-functional teams to translate business goals into data-driven solutions.

Skills

Data Analysis

SQL

Python

Statistical Techniques

Communication

Education

5+ years of experience in data science

Tools

Power BI

Big Query

Job description

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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.
• 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Food and Beverage Manufacturing

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