At a Glance
- Tasks: Analyse property data to optimise estate strategy and support new store openings.
- Company: Dynamic retail company with a focus on data-driven decision making.
- Benefits: 33 days holiday, health cash plan, discounts, and extensive learning opportunities.
- Other info: Hybrid role with a modern data stack and excellent career growth potential.
- Why this job: Join a collaborative team and make a real impact on business strategy through data.
- Qualifications: Degree in a quantitative field and 2-3 years of analytics experience required.
The predicted salary is between 35000 - 45000 £ per year.
Location: Hybrid role, 2 days per week in 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, partnering with stakeholders across Trading, Commercial, Customer and Supply Chain.
Responsibilities
- Partner with the property team to analyze location and property data to support business strategy and estate optimisation.
- Deep dive into topics such as 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 that enable 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.
Qualifications
- SQL proficiency: comfortable querying, joining and transforming data to analyze 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: degree in a quantitative field such as Mathematics, Statistics, Economics or Engineering, and 2‑3 years of analytics experience—preferably with exposure to commercial operations, network or property data.
Benefits
- 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!
Property Analytics Analyst: Estate Optimisation (Hybrid) employer: 慨正橡扯
As a Property Analytics Analyst at our hybrid London or Nuneaton office, you will thrive in a dynamic work culture that prioritises collaboration and innovation. With generous benefits including 33 days of holiday, a health cash plan, and extensive learning opportunities, we are committed to your personal and professional growth. Join us to make a meaningful impact on our property strategy while enjoying a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Property Analytics Analyst: Estate Optimisation (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to current employees in the company or industry on LinkedIn. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by researching the company’s recent projects and challenges. This shows you're genuinely interested and ready to contribute to their goals.
✨Tip Number 3
Practice your data storytelling skills. Be ready to explain how your analytical insights can drive business decisions, especially around estate optimisation and performance trends.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Property Analytics Analyst: Estate Optimisation (Hybrid)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Property Analytics Analyst role. Highlight your SQL skills and any experience with data analysis in retail or property. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about estate optimisation and how you can contribute to our team. Keep it concise but impactful, and don’t forget to mention your collaborative mindset.
Showcase Your Analytical Skills:In your application, be sure to showcase your analytical skills and any relevant projects you've worked on. We love seeing examples of how you've used data to drive decisions, especially in commercial settings.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at 慨正橡扯
✨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 prowess and readiness for the role.
✨Understand Estate Optimisation
Dive deep into the concept of estate optimisation and be prepared to share insights on how data can drive decisions in property management. Think about examples where you've analysed location data or store performance, and how that led to actionable recommendations.
✨Communicate Clearly
Practice explaining complex data findings in simple terms. You’ll need to communicate with various stakeholders, so being able to articulate trade-offs and performance trends clearly will set you apart. Consider preparing a few scenarios where you successfully communicated data insights.
✨Show Your Collaborative Spirit
Highlight your experience working across different teams, especially in analytics projects. Share examples of how you’ve partnered with others to achieve common goals, as collaboration is key in this role. Be ready to discuss how you can contribute to the Commercial Ops analytics roadmap.
