Data is the beating heart at Holland & Barrett. Our data teams - comprised of Data Engineering, Data Warehousing, BI, Data Science and Product Analytics - are essential to enabling H&B's vision of becoming the world's leader in personalised wellness journeys.

Location: This is a hybrid role, with 2 days per week expected in either our London or Nuneaton office at CV10 7RH

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 Property Analyst in the Core Business Analytics team, you'll support the Property and Commercial functions with a focus on estate optimisation and format improvements. You'll partner with stakeholders across Trading, Commercial, Customer and Supply Chain. 
 
What You'll Do 

• Partner with the property team to analyse location and property data to support business strategy and estate optimisation. 
• Deep dive into topics like store performance, cannibalisation and catchment analysis, producing actionable recommendations to the property and commercial teams 
• Support the business strategy on new store openings and refits, acting as the data lead to evaluate the impact and drive future development 
• Collaborate with wider data teams, including BI and engineers to develop data products to help business self-serve critical reporting. 
• Contribute to sprint planning and backlog shaping as part of the Commercial Ops analytics roadmap. 
• Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool. 
• Partner or work across anlaytics projects for Space and Range, Supply Chain, or Commercial Ops where relevant.

Core Skills & Behaviours 

• SQL proficiency: Comfortable querying, joining, and transforming data to analyse stock, sales, and customer performance. 
• Commercial awareness: Understands retail performance drivers 
• Communication: Able to clearly explain trade-offs and performance trends to commercial and supply chain stakeholders. 
• Delivery ownership: Manages own tasks within agile delivery, balancing speed and accuracy. 
• Visualisation skills: Builds usable dashboards in Metabase that support operational planning. 
• Collaborative mindset: Works well across Commercial, Supply, and Customer functions. 
• Education & Experience: You have a degree in a quantitative field such as Mathematics, Statistics, Economics, or Engineering, and 2–3 years of experience in analytics—preferably with exposure to commercial operations, network or property data.