Commercial Analyst - Property

About Data at Holland & Barrett

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.

Our mission is to provide access to quality data at the speed of thought and enable data-driven decision making across the organisation. Equally, our data teams build and deploy advanced data products to deliver a world-class user experience to our customers.

Join us in creating the future.

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.

Location:

This is a hybrid role, with 2 days per week expected in either our London or Nuneaton office.

• 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, Big Query, Matillion, and Retool.
• Partner or work across analytics projects for Space and Range, Supply Chain, or Commercial Ops where relevant.

• 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.

• 33 days holiday, including bank holidays
• Health Cash Plan
• Life Assurance
• Incentive scheme based on company & personal performance
• Virtual GP
• Private Medical care
• FREE at-home blood test kit
• Holiday Purchase option
• Pension Contribution scheme
• Access to 'Wellhub' with gyms, studios and wellbeing apps

• 25% Colleague Discount with FREE Standard Delivery
• Exclusive Discounts from a wide range of partners
• £/€50 Annual Product Allowance to spend in store

• Access to a variety of learning opportunities, including Level 2-5 Apprenticeships, Workshops and our Digital Learning Library
• AND MORE!

• 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