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- Tasks: Analyse geospatial data to create insights that enhance customer experience in retail and healthcare.
- Company: Join Boots, the UK's leading pharmacy-led health and beauty retailer.
- Benefits: Enjoy a competitive salary, generous discounts, and flexible benefits.
- Why this job: Make a real impact by translating complex data into actionable insights.
- Qualifications: Degree in a quantitative field and experience with SQL, Python, or R.
- Other info: Be part of a diverse team with excellent career growth opportunities.
The predicted salary is between 30000 - 40000 £ per year.
Contract: Permanent
Shift pattern: Full Time - 5 days in the office
Location: Nottingham - Support Office
Closing date: 13th April 2026
In the Space, Range and Location Analytics team within the UK's leading pharmacy-led health and beauty retailer, we are responsible for designing, developing and delivering data, models and insights. These allow us to give our customers what they want, where and when they want it.
Our award-winning team integrates across all parts of our business. If you are great at analytics and love retail and healthcare, you will have plenty of opportunities to make an impact. We have 1,900 stores and a significant online presence, and our purpose is to help our customers look and feel better than they ever thought possible.
We're looking for someone who has the gift of translating complex analytics into easily understandable insights and principles. You will encompass Location and Range analytics, focusing on our geospatial data exploration and tooling capabilities. This opportunity is for those of you interested in supporting Boots in implementing business solutions from your analytical thinking and capability.
You'll be supported in the role by a diverse team of experienced peers and leaders as you meet the evolving requirements of the retail and pharmacy analytics environment.
Key responsibilities
- You're comfortable working both independently and collaboratively as part of a team.
- Excited by taking on responsibility and looking to lead value from data, and creating the insights and tools to solve business problems.
- Relevant previous experience or a degree with quantitative elements (i.e. includes statistics modules), such as Math, Physics, Geography, Data Science, Psychology.
- An interest in GIS (Geographic Information Science) principles.
- Stakeholder management experience - you will present complex results to less technical audiences.
- Comfortable using programming languages including SQL, Python, and R.
- Ability to balance multiple projects.
It would be great if you also have:
- Experience using GIS software, especially ESRI and Alteryx.
- Demonstrable record of delivering results in a commercial or academic environment.
- Experience using data visualisation tools such as Power BI.
- Ability to deal well with ambiguity.
- Expertise in working with large structured and unstructured data sets, preferably in Databricks.
Rewards designed for you
- Pension membership
- Partial paid maternity leave
- Discretionary annual bonus
- Generous employee discounts
- Flexible benefits scheme
At Boots we're proud to be an equal opportunity employer, creating a place where everyone feels welcome, supported and free to be themselves. We believe that when our people feel valued and included, they thrive, so we're committed to creating a brilliant Boots for our people so they can make a difference for our customers and colleagues every time.
If you apply, our team will be in touch to let you know the outcome of your application or to arrange next steps. Where a role is advertised as full-time, we are open to discussing part-time and job share options during the application process. If you require additional support as part of the application and interview process, we are happy to provide reasonable adjustments to help you to be at your best.
This role requires the successful candidate to complete a pre-employment check after receiving an offer, which may include a vetting check.
We hope to hear from you soon.
Geospatial Data Analyst in Derby employer: Boots UK Limited
Contact Detail:
Boots UK Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Geospatial Data Analyst in Derby
✨Tip Number 1
Get to know the company inside out! Research Boots, their values, and recent projects. This will help you tailor your conversations and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for interviews by practising common questions related to geospatial data analysis. Think about how you can showcase your skills in SQL, Python, and GIS software, and be ready to discuss your past experiences.
✨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, it shows you’re serious about joining the Boots family!
We think you need these skills to ace Geospatial Data Analyst in Derby
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Geospatial Data Analyst role. Highlight your relevant experience, especially in analytics and GIS principles, so we can see how you fit into our team.
Showcase Your Skills: Don’t forget to showcase your programming skills in SQL, Python, and R. We want to know how you’ve used these languages in past projects, so give us some examples!
Keep It Clear and Concise: When writing your application, keep it clear and concise. We love a good story, but make sure you’re getting to the point quickly, especially when explaining complex analytics.
Apply Through Our Website: Remember to apply through our website! It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team.
How to prepare for a job interview at Boots UK Limited
✨Know Your Data
Make sure you brush up on your geospatial data knowledge. Understand the key concepts of GIS and be ready to discuss how you've used SQL, Python, or R in past projects. Being able to talk about specific examples will show your expertise and passion for the role.
✨Simplify Complex Concepts
Since you'll need to present complex analytics to less technical audiences, practice explaining your previous work in simple terms. Use analogies or visuals if possible. This will demonstrate your ability to communicate effectively, which is crucial for this position.
✨Show Your Collaborative Spirit
Prepare to discuss how you've worked in teams before. Highlight any experiences where you took the lead on a project or collaborated with others to solve a problem. Boots values teamwork, so showing that you're comfortable both independently and as part of a group will be a big plus.
✨Be Ready for Ambiguity
The retail and pharmacy analytics environment can be unpredictable. Think of examples from your past where you successfully navigated ambiguity or uncertainty. This will showcase your adaptability and problem-solving skills, which are essential for this role.