Geospatial Insight & Analytics Manager

Harnham; Leeds; On-site; GBP 40,000 - 55,000; Full time

Job summary

A leading UK business seeks a Geospatial Insight & Analytics Manager based in Leeds. This role involves leveraging geospatial data to guide pivotal business decisions, mentoring an analyst, and shaping broader data strategies. The ideal candidate will have strong expertise in location-based data and analytical tools, contributing significantly to the organization's growth.

Qualifications

• Experience with geospatial or location-based data is crucial.
• Proficient in SQL and Python for data analysis.
• Familiarity with mapping and GIS platforms (e.g., ESRI) preferred.

Responsibilities

• Guide decisions using location data for store placements and delivery routes.
• Build models to analyze customer and competitor trends by region.
• Lead end-to-end projects from conception to impact.

Skills

Geospatial or location-based data

SQL

Python

Mapping and GIS platforms

Job description

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Senior Recruitment Consultant - Analytics Recruiter in the North & Midlands (UK)

Leeds – 3 days a week in the office

A leading UK business is looking for a Geospatial Insight & Analytics Manager. This is a unique opportunity to lead location-based insight projects that influence real-world decisions — from where to open new stores to how to reach customers more effectively.

The Role

You’ll join a small, growing insight team and take the lead on geospatial analytics. The focus is using data tied to geography to help the business make smarter choices. You’ll also manage an Analyst and play a key role in shaping the broader data strategy.

What You’ll Be Doing

• Guiding decisions on store locations, delivery routes, and marketing using location data
• Building models that show customer and competitor trends by region
• Working closely with senior leaders to embed geospatial thinking into the business
• Leading end-to-end projects, from idea to impact
• Helping develop the wider data function and mentoring junior team members

What They’re Looking For

• Strong experience working with geospatial or location-based data
• Confident using tools like SQL or Python to analyse data
• Familiar with mapping and GIS platforms (e.g., ESRI)
• Comfortable presenting insight in a clear, visual way
• Some experience leading or mentoring others

How to Apply

Interested? Send your CV to Lauren McAlister via the Apply link on this page.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst

• Industries

  Retail

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