At a Glance
- Tasks: Analyse property data to optimise business strategies and support new store openings.
- Company: Dynamic analytics team within a leading retail organisation.
- Benefits: 33 days holiday, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career development.
- Why this job: Make a real impact on retail strategy 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 40000 - 50000 £ 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
Property Analytics Analyst: Estate Optimisation (Hybrid) in London employer: 慨正橡扯
As a Property Analytics Analyst at our company, you will thrive in a dynamic and supportive work environment that prioritises employee wellbeing and professional growth. With a hybrid working model allowing flexibility between our London and Nuneaton offices, you will have access to 33 days of holiday and opportunities to collaborate with cross-functional teams, enhancing your skills while contributing to impactful projects in estate optimisation. Join us to be part of a culture that values innovation, teamwork, and the strategic use of data to drive business success.
StudySmarter Expert Advice🤫
We think this is how you could land Property Analytics Analyst: Estate Optimisation (Hybrid) in London
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✨Join Local Business Intelligence Meetups
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We think you need these skills to ace Property Analytics Analyst: Estate Optimisation (Hybrid) in London
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at 慨正橡扯, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at 慨正橡扯
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with 慨正橡扯’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
