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For Companies At a Glance
- 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, flexible benefits, and generous employee discounts.
- Why this job: Make a real impact by translating complex data into actionable insights for a better customer experience.
- 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 28800 - 48000 £ per year.
Geospatial Data Analyst
Contract: Permanent
Shift pattern: Full Time - 5 days in the office
Location: Nottingham - Support Office
Closing date: 2nd April 2026
What you'll be doing
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
- 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.
- 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
There's lots more in our benefits and discounts, MyBoosts – there to give you that little lift in your everyday. Find out more at boots.jobs. Exclusions may apply; eligible roles only.
Please note that any salary estimates provided on third‑party sites are not endorsed by Boots Ireland and may not be accurate.
A bit about us
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.
What's next
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. Be brilliant with Boots.
Geospatial Data Analyst employer: BOOTS
Contact Detail:
BOOTS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Geospatial Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Boots on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your geospatial data skills. Be ready to discuss how you've used SQL, Python, or GIS software in past projects. Show them you can turn complex data into clear insights!
✨Tip Number 3
Practice your presentation skills! You’ll need to explain your findings to non-technical folks, so make sure you can simplify your analytics without losing the essence. It’s all about making it relatable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, you can keep an eye on any updates or new roles that pop up in the future.
We think you need these skills to ace Geospatial Data Analyst
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. We want to see how your skills align with what we do at Boots!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how you can contribute to our team. Keep it engaging and make it personal – we love hearing your story!
Showcase Your Technical Skills: Don’t forget to mention your programming skills, especially in SQL, Python, and R. If you've worked with GIS software or data visualisation tools like Power BI, let us know! We’re keen to see your technical prowess.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you on board with Boots. We can’t wait to hear from you!
How to prepare for a job interview at BOOTS
✨Know Your Data
Before the interview, brush up on your knowledge of geospatial data and analytics. Be prepared to discuss specific projects where you've used SQL, Python, or R to derive insights. This will show your technical prowess and how you can apply it to real-world problems.
✨Simplify Complex Concepts
Since you'll be presenting complex results to less technical audiences, practice explaining your past projects in simple terms. Use analogies or visuals if possible. This will demonstrate your ability to communicate effectively, a key skill for the role.
✨Show Your Passion for Retail and Healthcare
Research Boots and its impact on retail and healthcare. Be ready to share why you're excited about the opportunity to work with them. Showing genuine interest can set you apart from other candidates who may not have done their homework.
✨Prepare for Stakeholder Scenarios
Think of examples where you've successfully managed stakeholders or collaborated within a team. Be ready to discuss how you handled differing opinions or challenges. This will highlight your teamwork and leadership skills, which are crucial for this role.