Lead Data Analyst - Growth & Retention
Lead Data Analyst - Growth & Retention

Lead Data Analyst - Growth & Retention

London Full-Time 43200 - 72000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data analysis to boost customer growth and retention through insights and predictive models.
  • Company: Join a dynamic team focused on maximising customer value and driving business strategy.
  • Benefits: Enjoy remote work, flexible hours, generous leave, and wellness perks like puppy therapy!
  • Why this job: Make a real impact on business decisions while collaborating with diverse teams in a fast-paced environment.
  • Qualifications: 5+ years in data science, strong skills in Python and SQL, and experience with A/B testing.
  • Other info: Work from home with occasional London office visits; dogs are welcome!

The predicted salary is between 43200 - 72000 Β£ per year.

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 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!
  • 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 Β£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.

Lead Data Analyst - Growth & Retention employer: PetLab Co.

Join a forward-thinking company that prioritises employee well-being and professional growth, offering a flexible remote work environment with just one day a month in the London office. With generous benefits like enhanced parental leave, a learning and development budget, and unique perks such as Puppy Therapy, we foster a collaborative culture where your insights as a Lead Data Analyst will directly shape our growth strategies and customer retention efforts.
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Contact Detail:

PetLab Co. Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Lead Data Analyst - Growth & Retention

✨Tip Number 1

Familiarise yourself with LTV (Lifetime Value) modelling and forecasting techniques. Understanding these concepts will not only help you in interviews but also demonstrate your readiness to contribute to our growth strategies.

✨Tip Number 2

Brush up on your SQL and Python skills, especially focusing on data analysis and modelling libraries like pandas and scikit-learn. Being able to showcase your technical prowess during discussions can set you apart from other candidates.

✨Tip Number 3

Prepare to discuss your experience with A/B testing and experimental design. We value candidates who can articulate their thought process and results from past experiments, as this directly relates to the role's responsibilities.

✨Tip Number 4

Network with professionals in the data science and growth fields. Engaging with others in the industry can provide insights into best practices and may even lead to referrals, increasing your chances of landing an interview with us.

We think you need these skills to ace Lead Data Analyst - Growth & Retention

Data Analysis
Predictive Modelling
SQL Proficiency
Python Programming
A/B Testing Methodologies
Statistical Techniques
Data Visualisation (Power BI)
Collaboration with Cross-Functional Teams
Communication Skills
Experiment Design
Demand Forecasting
Lifetime Value (LTV) Modelling
Data Pipeline Maintenance
Agile Working Environment Adaptability
Trend Analysis

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in growth and retention roles. Emphasise your skills in LTV modelling, A/B testing, and proficiency in SQL and Python.

Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data analysis and how your previous experiences align with the responsibilities of the Lead Data Analyst role. Mention specific projects where you've successfully influenced business strategy through data-driven insights.

Showcase Your Technical Skills: Include examples of your work with data visualisation tools like Power BI and any experience with large datasets. Highlight your ability to communicate complex data insights to both technical and non-technical stakeholders.

Prepare for Potential Assessments: Be ready to demonstrate your analytical skills through practical assessments or case studies during the application process. Brush up on your knowledge of statistical techniques and be prepared to discuss your approach to problem-solving in data analysis.

How to prepare for a job interview at PetLab Co.

✨Showcase Your Analytical Skills

Prepare to discuss your experience with data analysis, particularly in growth and retention contexts. Be ready to share specific examples of how you've used SQL and Python to derive insights from large datasets.

✨Understand LTV and Forecasting Models

Familiarise yourself with Lifetime Value (LTV) models and demand forecasting techniques. Be prepared to explain how these concepts can inform marketing strategies and retention efforts during the interview.

✨Communicate Clearly

Practice explaining complex data concepts in simple terms. Since you'll be working with both technical and non-technical stakeholders, demonstrating your ability to communicate insights effectively is crucial.

✨Prepare for A/B Testing Discussions

Brush up on A/B testing methodologies and be ready to discuss your experience designing and analysing experiments. Highlight any successful tests you've conducted and the impact they had on business decisions.

Lead Data Analyst - Growth & Retention
PetLab Co.
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