Join to apply for the Customer Experience (CX) Data Analyst role at Holland & Barrett

Join to apply for the Customer Experience (CX) Data Analyst role at Holland & Barrett

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At Holland & Barrett (H&B), we want to empower everyone to live healthier, happier lives. With over 150 years of experience, we're the largest health & wellness retailer in Europe and a globally trusted brand. Our ambition is to become the world's most trusted wellness partner, chosen by over 100 million people worldwide.

Our Analytics organisation is structured into five verticals: four embedded analytics areas aligned to key business functions, and a central Business Intelligence team focused on cross-functional reporting and performance enablement. Together with our Data Engineering and Data Science colleagues, we make data a strategic lever to achieve H&B's goals.

As a Customer Experience (CX) Analyst in the Customer Growth Analytics team, you'll work closely with teams across Perfect Transaction, Customer Service, Supply Chain, Digital, and Retail Operations to deliver high-quality dashboards and insights that improve the post-purchase journey. You'll act as a trusted partner to stakeholders, translating their needs into actionable data solutions that drive meaningful improvements to the customer experience.

This role requires strong analytical skills, excellent communication, and a desire to grow technically within a supportive team.

What You'll Do

• Partner with business teams to understand customer experience problems and help them make better decisions through data.
• Design and build dashboards in Metabase that clearly communicate customer metrics and journey insights.
• Write clean, efficient SQL to transform and extract data from large, complex datasets.
• Support CX analytics delivery, contributing to backlog shaping, sprint planning, and delivery timelines.
• Ensure quality and maintainability by following team standards for documentation, scalability, and testing.
• Collaborate cross-functionally with BI Developers, Embedded Analysts, and Customer teams to deliver end-to-end data products.
• Continue developing your skills through mentorship from senior team members and access to our skills development framework to grow as a full-stack analyst.
• Work with a modern data stack, including Redshift, BigQuery , Matillion , and Retool.
  
  

• SQL proficiency : Comfortable querying, joining, and transforming data for reporting and analysis.
• Business acumen: Understands the context behind CX metrics and can translate them into tailored dashboards and recommendations.
• Communication: Able to explain analytical outputs clearly to both technical and non-technical audiences.
• Delivery ownership: Manages own tasks independently and contributes reliably to wider analytics projects.
• Visualisation skills: Designs clean, usable dashboards in Metabase (or experience with equivalent tools like Tableau, Looker, PowerBI).
• Collaborative mindset: Works well in cross-functional teams and contributes to team rituals ( e.g. planning, retrospectives).
• Education & Experience: You have a degree in a quantitative field such as Mathematics, Statistics, Economics, Engineering, or Computer Science, and 2–3 years of experience in a data or analytics role—preferably with exposure to CX, operations, or service domains.
  
  

• Health Cash Plan
• Life Assurance
• Incentive Scheme
• Virtual GP
• Private Medical
• FREE at-home blood test kit
• Holiday Purchase option
• Pension Contribution
• Access to ‘Wellhub' with gyms, studios and wellbeing apps
  
  

• 25% Colleague Discount with FREE Next Day Delivery
• Exclusive Discounts from a wide range of partners
• £/€50 Annual Product Allowance to spend in store
  
  

• Access to a variety of learning opportunities, including Level 2-5 Apprenticeships, Workshops and our Digital Learning Library
• AND MORE!
  
  

• A short Coderbyte assessment to evaluate core technical and analytical skills
• Role-specific questions to understand your approach to relevant challenges
• An interview with the Hiring Manager to explore your experience and motivations
• A case study to demonstrate problem-solving and strategic thinking
• A follow-up review to delve deeper into your insights and approach
• Short conversations with team members to assess team fit and working style

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Wellness and Fitness Services

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