At a Glance
- Tasks: Analyse customer data to enhance loyalty and retention strategies.
- Company: Join Holland & Barrett, Europe's largest health & wellness retailer with a 150-year legacy.
- Benefits: Enjoy hybrid work, 25% discount, career progression, and wellness support.
- Why this job: Be part of a dynamic team shaping personalised customer journeys and driving impactful insights.
- Qualifications: Degree in a quantitative field and 2-3 years in data or analytics, preferably in CRM.
- Other info: Collaborate with cross-functional teams and develop your skills with mentorship.
The predicted salary is between 36000 - 60000 Β£ per year.
About Data at Holland & Barrett
At Holland & Barrett (H&B), we want to empower everyone to live healthier, happier lives. With over 150 years of experience, we\βre the largest health & wellness retailer in Europe and a globally trusted brand. Our ambition is to become the world\βs 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\βs goals.
As a Loyalty or Retention Analyst in the Customer Growth Analytics team, you\βll work closely with stakeholders across CRM, Lifecycle Marketing, Digital, and our Loyalty Programme to deliver high-quality dashboards and insights that improve customer engagement, retention, and lifetime value. You\βll act as a trusted analytics partner-supporting campaign planning, analysing programme performance, and surfacing insights that shape personalised customer journeys.
The Role
- 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 2-3 years of experience in a data or analytics role-ideally with exposure to CRM, loyalty, or marketing analytics.
Benefits
Technology Incentive Scheme β we offer different bonus schemes for all grades in Technology, starting at 10%.
Learning and Development opportunity with Holland & Barrett is a great base for career development long term.
Career progression
Pension company contribution
Your wellbeing is paramount so you can get away and take 28 or 33 Days Holiday per year.
Refer and Earn Scheme β as we\βre growing you can earn money by referring people to join us from your network.
Epic Extras gives you access to exclusive benefits, free advice and savings from a range of retailers and providers.
Stay healthy with Discounted Products β from day one you\βll get a 25% discount (on top of other promotions) when you shop at H&B on anything that you buy.
We all need a little help sometimes, so we offer Free 24/7 Confidential Advice & Colleague Welfare.
Mental Health First Aiders β we have lots of qualified Mental Health First Aiders because its all about your health & wellbeing.
We have colleague Reward and Recognition Schemes, so your hard work and loyalty won\βt go unnoticed.
And many more!
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 #J-18808-Ljbffr
Loyalty Data Analyst employer: Holland and Barrett
Contact Detail:
Holland and Barrett Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Loyalty Data Analyst
β¨Tip Number 1
Familiarise yourself with the tools mentioned in the job description, such as Metabase, SQL, and any other data visualisation software. Being able to demonstrate your proficiency in these tools during discussions will show that you're ready to hit the ground running.
β¨Tip Number 2
Understand the key metrics related to customer retention and loyalty programmes. Be prepared to discuss how you would analyse customer segments and behaviours, as this will be crucial in your role and will impress the hiring team.
β¨Tip Number 3
Network with current or former employees of Holland & Barrett on platforms like LinkedIn. They can provide insights into the company culture and expectations, which can help you tailor your approach during interviews.
β¨Tip Number 4
Prepare for the technical assessment by brushing up on your SQL skills. Practice writing queries that involve joining tables and transforming data, as this will likely be a key part of the evaluation process.
We think you need these skills to ace Loyalty Data Analyst
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly with SQL and CRM. Emphasise any previous roles where you've worked on customer engagement or loyalty programmes.
Craft a Compelling Cover Letter: In your cover letter, express your passion for health and wellness, and explain how your skills align with the role of Loyalty Data Analyst. Mention specific tools like Metabase or SQL that you are proficient in.
Showcase Your Analytical Skills: Prepare examples of past projects where you used data to drive decisions. Be ready to discuss how you approached problem-solving and the impact of your insights on business outcomes.
Research Holland & Barrett: Familiarise yourself with Holland & Barrett's mission and values. Understanding their approach to customer engagement and loyalty will help you tailor your application and demonstrate your enthusiasm for the brand.
How to prepare for a job interview at Holland and Barrett
β¨Brush Up on SQL Skills
Since SQL proficiency is crucial for this role, make sure to review your SQL skills before the interview. Be prepared to discuss how you've used SQL in past projects, and consider practicing some common queries that might be relevant to the job.
β¨Understand Customer Engagement Metrics
Familiarise yourself with key CRM and loyalty metrics. Be ready to explain how these metrics influence customer retention and engagement, and think of examples from your experience where you have successfully analysed or improved these metrics.
β¨Prepare for Technical Questions
Expect technical questions related to data analysis and visualisation tools like Metabase, Tableau, or PowerBI. Be ready to discuss your experience with these tools and how you've used them to create impactful dashboards.
β¨Showcase Your Collaborative Mindset
This role requires working closely with various teams. Prepare examples that demonstrate your ability to collaborate effectively across functions, highlighting any successful projects where teamwork played a key role in achieving results.