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 Senior Commercial Analyst in the Core Business Analytics team, you’ll support one of our flagship categories: VHMS, Food & Sports, or Beauty. You’ll act as a strategic analytics partner to stakeholders across Commercial, Trading, Category, and Digital, delivering insights that influence pricing, promotions, product performance, and customer value.

KEY RESPONSIBILITIES

• Lead analytics delivery for supplier performance, commercial contribution, and terms agreement tracking.
• Partner with Supplier Terms, Category, and Commercial stakeholders to evaluate deal outcomes and supplier impact.
• Build dashboards in Metabase to monitor supplier-level performance, agreement effectiveness, and compliance.
• Create analytics which demonstrate commercial optimisation opportunities & targets.
• Write clean, efficient SQL to analyse data across trading, rebate, promotional, and category-level metrics.
• Deliver insights that support negotiations, supplier scorecards, and performance reviews.
• Own analysis of agreement value, rebate accuracy, and deal profitability.
• Contribute to development of tools that track supplier performance over time and model commercial scenarios.
• Collaborate cross-functionally with BI Developers, Embedded Analysts, and Supplier Performance teams to deliver end-to-end data products.
• Mentor mid-level analysts and help strengthen capability across the Commercial Ops analytics team.
• Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool.
  Location: This is a hybrid role based in Nuneaton, with the requirement to be in the office at least two days per week.

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 styl