Geospatial Insight & Analytics Manager

Harnham; Leeds; Hybrid; GBP 45,000 - 60,000; Full time

Job summary

A leading retail and logistics business is seeking a Geospatial Insight & Analytics Manager in Leeds to drive data-driven decisions using geospatial data. The role involves leading projects on location planning and network design, managing a team, and developing insights to enhance commercial strategies, hybrid working is available.

Qualifications

• Strong background in geospatial analytics with a focus on customer insight.
• Hands-on experience with SQL and Python.
• Experience in building models for location planning or delivery optimization.

Responsibilities

• Manage and support geospatial analytics projects and teams.
• Translate business insights into actionable geospatial data-driven solutions.
• Collaborate and influence decision-making with senior stakeholders.

Skills

Geospatial Analytics

SQL

Python

ArcGIS

Data Analysis

Tools

Databricks

ArcGIS

Job description

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Base pay range

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Building Data Analytic Teams Across the North & Midlands (UK) | The Talent Driving The Data & AI Revolution

Geospatial Insight & Analytics Manager

Location: Leeds (Hybrid, 3 days per week in the office)

The Company

A nationally recognised retail and logistics business is looking for a Geospatial Insight & Analytics Manager to join their data function. The team plays a crucial role in using location-based data to drive smarter, faster commercial and customer decisions, and this role will lead high-impact projects across location planning, network design, and targeted marketing.

The Role

This is a rare opportunity to shape the future of how geospatial analytics supports core strategic decisions in a business that owns and operates hundreds of sites across the UK. You will manage one analyst and work closely with senior stakeholders across marketing, operations, and commercial teams.

Key Responsibilities:

Spatial Insight & Strategic Decision Support

• Translate business questions into geospatial data-driven insight
• Use spatial modelling to solve problems around store planning, network optimisation, and targeted customer engagement
• Identify whitespace opportunities based on demographics, mobility, and purchasing behaviour

Advanced Geospatial Analytics

• Apply tools like Databricks, ArcGIS, SQL, and Python to build models, test hypotheses, and scale geospatial insight
• Integrate datasets like HST (High Street Trading), customer segmentation, and footfall into spatial analysis workflows
• Conduct segmentation and clustering work to highlight geographical patterns
• Build dashboards and data visualisations that clearly communicate insights
• Collaborate with non-technical stakeholders to translate complex spatial data into business recommendations
• Present analysis at senior levels and influence investment and location decisions

Leadership & Team Development

• Line manage and support a Geospatial Analyst
• Contribute to building a geospatial community of practice
• Upskill and mentor other team members on geospatial thinking

Skills & Experience

• Solid background in geospatial analytics or customer insight with a spatial focus
• Strong skills in SQL and/or Python
• Hands-on with ArcGIS or similar GIS tools (e.g., QGIS, MapInfo, Alteryx)
• Experience in building models for location planning, delivery optimisation, or customer segmentation
• Confident communicator with the ability to translate data into strategic impact
• Experience in retail, logistics, transportation, or infrastructure industries
• Familiarity with working in Databricks or similar cloud environments
• Understanding of demographic and economic datasets relevant to location modelling
• Experience in line management or mentoring
• 13.5% bonus
• Hybrid working from Leeds (3 days per week onsite)
• High exposure to senior stakeholders and strategy
• Diverse data environment and strong investment in tooling

How to Apply

Interested? Send your CV to Mohammed Buhariwala at Harnham via the Apply link on this page.

Keywords

Geospatial Analytics, Location Planning, Spatial Insight, GIS, ArcGIS, Databricks, Python, SQL, Retail Strategy, Network Optimisation, Data Science, Hybrid Working, Leeds

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst

• Industries

  Retail

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