Senior Analyst – Range and Geospatial Analytics

Women in Data®

Nottingham

On-site

GBP 35,000 - 50,000

Full time

14 days+

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Benefits offered by this job

Boots Retirement Savings Plan

Discretionary annual bonus

Enhanced maternity/paternity/adoption leave pay

Flexible benefits scheme

Access to free, 24/7 counselling and support

Job summary

A leading company in the health and beauty retail sector is seeking a Senior Analyst specializing in Range and Geospatial Analytics. This role involves translating complex data into actionable insights and managing analytics projects to improve retail strategies. Candidates should possess strong analytical skills, experience with data visualization tools, and the ability to communicate findings effectively. Join a diverse team and make a significant impact in a dynamic retail environment.

Qualifications

Relevant previous experience or a degree with quantitative elements.
Experience using relational databases.
Experience evaluating trials with robust methodology.

Responsibilities

Translate complex analytics into understandable insights.
Manage Test and Learn capability.
Create and implement retail solutions from analytical thinking.

Skills

Problem Solving

Stakeholder Management

Communication

Logical Thinking

Data Visualization

Education

Degree with quantitative elements (Maths, Physics, Geography, Psychology)

Tools

SQL

Python

PowerBI

Job description

Senior Analyst – Range and Geospatial Analytics

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Senior Analyst – Range and Geospatial Analytics

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APPLY HERE: Senior Analyst – Range and Geospatial Analytics

Location: Nottingham

Contract: Perm

Who we are

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 the data, models and insights which 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 retail business, if you are great at analytics and you love retail you will have plenty of opportunity to make an impact. We have 1,700 stores and a significant online presence and our purpose is to help our customers look and feel better than they ever thought possible.

About the role

We’re looking for someone who has the gift of translating complex analytics into easily understandable insights and principles.

You will encompass Space, Range and Geospatial modelling and insights, and management of our Test and Learn capability. This opportunity is for those of you interested in creating and implementing real retail 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 requirement of the retail analytics environment

What you’ll need to have

These are the essential skills or experience needed to succeed in this role.

You’re a problem solver, comfortable working both independently, and collaboratively in a team. Excited by taking on responsibility and looking to create value from data and create the insight and tools to solve business problems.

Required Skills

Relevant previous experience or a degree with quantitative elements (i.e. includes statistics modules), such as Maths, Physics, Geography, Psychology.
Logical thinking and problem solving, experience using relational databases for example
Stakeholder management experience and strong communication skills, you will be presenting complex results to less technical audiences.
Experience evaluating trials through implementing a robust methodology.
Proficiency in a coding language such as SQL, Python, R etc.
Experience with data visualisation tools such as PowerBI

It would be great if you also have

These are desirable skills or experience and are not essential, so we would welcome applications from candidates that don’t match this additional criteria.

Experience with GIS software and techniques.
Demonstrable record of delivering results in a commercial environment.
Ability to deal well with ambiguity and an expert in prioritisation of needs.
Expertise in working with large structured and unstructured data sets.
Boots Retirement Savings Plan
Discretionary annual bonus
Enhanced maternity/paternity/adoption leave pay and gift card for anyone expecting or adopting a child
Flexible benefits scheme including option to buy additional holiday, discounted gym membership, life assurance, activity passes and much more.
Access to free, 24/7 counselling and support through TELUS Health, our Employee Assistance Programme.

We have a great range of benefits in addition to the above that offer flexibility to suit you - find out more at boots.jobs/rewards. Exclusions may apply, eligible roles only. Please note, any salary estimates given on third-party sites are not provided or endorsed by Boots and may not be accurate.

Why Boots

At Boots, we foster a working environment where consideration and inclusivity help everyone to be themselves and reach their full potential. We are proud to be an equal opportunity employer, passionate about embracing the diversity of our colleagues and providing a positive and inclusive working environment for all. As the heart of everything we do at Boots, with you, we change for the better.

What's next

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. Depending on your location you will be asked to submit either a DBS (Disclosure & Barring Service), PVG (Protection of Vulnerable groups) or an Access NI Check.

Boots is a Ban the Box employer and will consider the suitability of applicants with criminal convictions on a case-by-case basis.

We are proud supporters of Women in Data. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.

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Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Analyst
Industries
Information Services

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