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- Tasks: Lead geospatial analytics projects to drive strategic decisions in a dynamic retail environment.
- Company: Join a nationally recognised retail and logistics business making impactful data-driven decisions.
- Benefits: Enjoy a competitive salary, car allowance, bonus, and hybrid working options.
- Why this job: Shape the future of geospatial analytics while collaborating with senior stakeholders and influencing key decisions.
- Qualifications: Strong background in geospatial analytics, SQL, Python, and experience with GIS tools required.
- Other info: Opportunity to mentor and develop a team while working in a diverse data environment.
The predicted salary is between 65000 - 65000 £ per year.
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.
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
- Stakeholder Engagement & Storytelling
- 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
- Essential:
- 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
- Desirable:
- 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
- £65,000 base salary
- £5,700 car allowance
- 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
Interested? Send your CV to Mohammed Buhariwala at Harnham via the Apply link on this page.
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Geospatial Insight & Analytics Manager
✨Tip Number 1
Familiarise yourself with the latest trends in geospatial analytics and how they apply to retail and logistics. This knowledge will help you engage in meaningful conversations during interviews and demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the geospatial analytics community, especially those working in retail or logistics. Attend industry events or webinars to make connections that could lead to valuable insights and potential referrals.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully applied geospatial tools like ArcGIS or SQL. Be ready to explain your thought process and the impact of your work on business decisions, as this will showcase your practical experience.
✨Tip Number 4
Practice your storytelling skills when it comes to presenting data insights. Being able to clearly communicate complex spatial data to non-technical stakeholders is crucial for this role, so consider mock presentations to refine your approach.
We think you need these skills to ace Geospatial Insight & Analytics Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in geospatial analytics, SQL, and Python. Emphasise any relevant projects or roles that demonstrate your ability to translate data into strategic insights, especially in retail or logistics.
Craft a Compelling Cover Letter: Write a cover letter that connects your skills and experiences directly to the job description. Discuss how you can contribute to the company's goals in location planning and network optimisation, and mention your experience with tools like ArcGIS and Databricks.
Showcase Your Communication Skills: In your application, provide examples of how you've effectively communicated complex data insights to non-technical stakeholders. This is crucial for the role, so highlight any presentations or reports you've delivered in the past.
Highlight Leadership Experience: If you have experience in line management or mentoring, make sure to include this in your application. Discuss how you've supported team development and contributed to building a community of practice in geospatial analytics.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL, Python, and GIS tools like ArcGIS during the interview. Be prepared to discuss specific projects where you applied these skills to solve geospatial problems.
✨Prepare for Stakeholder Engagement Scenarios
Since the role involves collaborating with non-technical stakeholders, think of examples where you've successfully communicated complex data insights. Practice explaining how you would present your findings to senior management.
✨Demonstrate Leadership Experience
If you have experience in line management or mentoring, be ready to discuss how you've supported team members in their development. This will show your potential to lead the Geospatial Analyst effectively.
✨Understand the Business Context
Research the retail and logistics industry, particularly how geospatial analytics can drive strategic decisions. Being able to relate your technical skills to real-world business challenges will impress your interviewers.
