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Loyalty Data Analyst

Holland and Barrett
Greater London
4 days ago
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  • Partner with CRM and Marketing teams to analyse customer segments, triggers, and behaviours that influence retention and reactivation. 
  • Support the Loyalty Programme team with insights into member engagement, tier behaviours, benefit usage, and strategic KPIs. 
  • Build dashboards in Metabase that clearly communicate retention metrics, loyalty performance, and customer value trends. 
  • Write clean, efficient SQL to transform and extract data from large datasets across marketing, transactions, and customer interactions. 
  • Contribute to campaign measurement, A/B test design, and post-campaign analysis in partnership with Lifecycle Marketing. 
  • Support analytics delivery, contributing to backlog shaping, sprint planning, and execution. 
  • Collaborate cross-functionally with BI Developers, Embedded Analysts, CRM teams, and Product to deliver end-to-end data products. 
  • Continue developing your skills with mentorship from senior team members and access to our skills framework to grow into a full-stack analyst. 
  • Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool. 

Location:
This is a hybrid role, with 2 days per week expected in either our London or Nuneaton office.

The Person

Core Skills & Behaviours 



  • SQL proficiency: Comfortable querying, joining, and transforming data for reporting and analysis. 
  • Business acumen: Understands the context behind CRM and loyalty metrics and translates them into meaningful, actionable outputs. 
  • Communication: Able to explain data insights clearly to both technical and non-technical stakeholders. 
  • Delivery ownership: Manages own tasks independently and reliably contributes to delivery across sprints. 
  • 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 23 years of experience in a data or analytics roleideally with exposure to CRM, loyalty, or marketing analytics. 
Benefits

Wellbeing & Lifestyle Benefits 



  • 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 

Discounts & Savings 



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

Learning & Development 



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

We're passionate about helping every colleague thrive across all dimensions of wellbeing, and we're committed to having a diverse and inclusive workplace. In line with our EPIC values (Expertise, Pioneering, Inclusive, Caring), we embrace and actively celebrate all our colleagues' unique and varying experiences, backgrounds, identities and cultures - I am me, we are H&B. 


Holland & Barrett does not accept unsolicited resumes from search firms/recruiters. Please do not forward resumes to our job alias, employees, or any other company location. Holland & Barrett is not and will not be responsible for any fees if a candidate submitted by a search firm/recruiter unless otherwise agreed with respect to specific open position(s). 


 

Our Recruitment Process:

Our selection process is designed to be thorough, transparent, and aligned with the role. It includes:




  • 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




#LI-Hybrid
#LI-CM1

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