* 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