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For Companies At a Glance
- Tasks: Analyse property data to optimise business strategy and support new store openings.
- Company: Join Holland & Barrett, a leader in personalised wellness journeys.
- Benefits: 33 days holiday, health cash plan, private medical care, and exclusive discounts.
- Other info: Hybrid role with excellent learning and development opportunities.
- Why this job: Make a real impact on retail performance while working with cutting-edge data tools.
- Qualifications: Degree in a quantitative field and 2-3 years of analytics experience.
The predicted salary is between 35000 - 45000 £ per year.
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.
Location
This is a hybrid role, with 2 days per week expected in either our London or Nuneaton office at CV10 7RH.
The Role
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 analytics 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.
Benefits
What we offer
- Wellbeing & Lifestyle Benefits: 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.
- Discounts & Savings: 25% Colleague Discount with FREE Standard Delivery, Exclusive Discounts from a wide range of partners, £/€50 Annual Product Allowance to spend in store.
- Learning & Development: Access to a variety of learning opportunities, including Level 2-5 Apprenticeships, Workshops and our Digital Learning Library AND MORE!
Commercial Analyst - PROPERTY in London employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commercial Analyst - PROPERTY in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Holland & Barrett on LinkedIn. Ask them about their experiences and any tips they might have for landing the Commercial Analyst role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by diving deep into the property and commercial analytics space. Brush up on your SQL skills and be ready to discuss how you would approach estate optimisation. Show us you know your stuff!
✨Tip Number 3
Don’t just apply; engage with our content! Follow Holland & Barrett on social media, comment on posts, and share relevant articles. This shows your enthusiasm and keeps you on our radar.
✨Tip Number 4
When you get that interview, come armed with questions! Ask about the data stack we use or how the analytics team collaborates with other departments. It shows you’re genuinely interested in the role and the company.
We think you need these skills to ace Commercial Analyst - PROPERTY in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Commercial Analyst - Property. Highlight your SQL skills and any experience with data analysis in retail or property, as this will show us you understand what we're looking for.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data and how it can drive business strategy. Share specific examples of how you've used data to make impactful decisions in previous roles.
Showcase Your Communication Skills: Since you'll be working with various teams, it's crucial to demonstrate your ability to communicate complex data insights clearly. Use your application to illustrate how you've successfully collaborated with stakeholders in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. This way, we can easily track your application and ensure it gets the attention it deserves!
How to prepare for a job interview at hackajob
✨Know Your Data Tools
Familiarise yourself with the modern data stack mentioned in the job description, like Redshift and BigQuery. Be ready to discuss how you've used these tools in past roles or projects, as this will show your technical proficiency and readiness for the role.
✨Understand the Business
Research Holland & Barrett's business model and their approach to personalised wellness. Being able to articulate how data can drive estate optimisation and support new store openings will demonstrate your commercial awareness and alignment with their goals.
✨Prepare for Scenario Questions
Expect questions that ask you to analyse hypothetical scenarios related to store performance or catchment analysis. Practise structuring your answers using the STAR method (Situation, Task, Action, Result) to clearly convey your thought process and analytical skills.
✨Showcase Your Communication Skills
Since the role involves collaborating with various teams, be prepared to discuss how you've effectively communicated complex data insights to non-technical stakeholders. Highlight any experience you have in creating dashboards or reports that made data accessible and actionable.