Geospatial Data Analyst

Boots
Wilford, NG11 6LN, United Kingdom
Last month
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Technify Talent Limited United Kingdom
£80,000 – £90,000 pa Remote

Data Scientist - Product focused (Python)

Adecco Bristol, Bristol (county), United Kingdom
Hybrid

Geospatial Engineer

Arup London, United Kingdom
Hybrid

Staff Data Scientist

Data Idols London, United Kingdom
£120,000 – £140,000 pa Hybrid
Posted
10 Apr 2026 (Last month)

Job Title: Geospatial Data Analyst

Contract: Permanent

Shift pattern: Full Time - 5 days in the office

Location: Nottingham - Support Office

Closing date: 13th April 2026

Recruitment Partner: Matthew Nelligan

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

*

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

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

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

New Data Science Employers to Watch in 2026: a UK and international shortlist of analytics and AI companies hiring data scientists, ML engineers and analysts. Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.