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'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 Commercial Analyst in the Core Business Analytics team, you'll support stakeholders across Pricing, Category, Commercial, and Supply to shape pricing and promotional strategy. You'll use data to drive commercial insight, improve margin outcomes, and track the effectiveness of offers and campaigns.

The Role

What You'll Do

• Partner with Pricing and Commercial teams to provide data support for pricing, markdown, and promotional planning.
• Design and build dashboards in Metabase that track pricing and promo performance, surfacing actionable insights.
• Write clean, efficient SQL to transform and extract data from large commercial and transactional datasets.
• Conduct ad-hoc analysis to answer commercial questions, support campaigns, and measure trading performance.
• Contribute to analytics delivery, sprint planning, and backlog shaping across the Pricing & Promotions roadmap.
• Ensure quality and maintainability by following team standards for documentation, scalability, and testing.
• Collaborate cross-functionally with Category, Commercial, Supply Chain, and Business Intelligence teams to deliver robust, end-to-end data products.

• SQL proficiency: Comfortable querying, joining, and transforming data for reporting and analysis.
• Commercial understanding: Familiar with pricing, promotions, margin, and product lifecycle fundamentals.
• Communication: Able to explain data clearly to both technical and non-technical stakeholders.
• Delivery ownership: Manages own tasks reliably as part of a sprint team, balancing speed and quality.
• 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 an analytics or commercial insights role-preferably with exposure to pricing, promotions, or trading analytics.

• 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