Location Analyst

Kingfisher
Hybrid

About The Position

The Location Analyst plays a critical role in shaping the future of our property estate by providing data-driven insights that support key strategic decisions. Using the CACI Gravity Model alongside a wide range of internal and external data sources, the role will evaluate opportunities across our estate to determine where we should open new stores, renew or exit leases, sublet locations, and optimise the performance of our existing portfolio. This is a hands-on analytical role that combines technical modelling with commercial thinking, helping the business make informed investment decisions that drive sustainable growth. This is an exciting opportunity to join the business at a pivotal time as we continue to evolve and optimise our estate strategy. You'll have the chance to influence high-profile decisions that directly impact our growth and performance, working closely with stakeholders across Property, Finance, Commercial, Operations and Strategy. You'll be empowered to challenge assumptions, uncover new insights through data, and continually improve how we use location intelligence to support decision making. If you're naturally curious, enjoy solving complex business problems and want to see your analysis translate into real-world outcomes, this role offers significant scope to make an impact. You’ll be part of a collaborative, forward-thinking analytics community that values curiosity, creativity and fresh thinking. We encourage new ideas, experimentation, and smart risk-taking to continuously improve how we use data.

Requirements

  • Experience in location planning, spatial analysis, property analytics or a similar analytical role.
  • Experience using the CACI Gravity Model or comparable location planning and GIS tools.
  • SQL skills, with experience in Python and/or R (desirable)
  • Strong analytical skills with the ability to interpret complex datasets and translate findings into commercial recommendations.
  • Naturally curious with a passion for exploring data and identifying new opportunities for insight.
  • Comfortable working with a variety of internal and external data sources to answer business questions.
  • Strong stakeholder management skills with the ability to influence and communicate effectively with both technical and non-technical audiences.
  • Excellent problem-solving skills with a proactive and inquisitive approach.
  • Experience of working cross-functionally in a fast-paced commercial environment.
  • Strong Excel skills and experience with analytical or visualisation tools would be advantageous.
  • An understanding of retail, property or location strategy would be beneficial.

Responsibilities

  • Build and maintain location models using the CACI Gravity Model to support strategic property decisions.
  • Provide robust analysis and recommendations on new store opportunities, relocations, lease renewals, space optimisation (rightsizing) and store closures.
  • Assess the impact of proposed estate changes on sales performance, customer catchments and the wider store network.
  • Combine multiple internal and external data sources to generate actionable insights and improve decision making.
  • Take on responsibilities across the wider team, looking at wider customer behaviour across CRM, loyalty and insights.
  • Work collaboratively with Property, Finance, Operations, Commercial and Strategy teams to understand business requirements and translate them into analytical solutions.
  • Present complex analysis in a clear and compelling way to support senior stakeholder decision making.
  • Continuously review and enhance modelling approaches, identifying opportunities to improve accuracy and efficiency.
  • Monitor estate performance and provide ongoing insights into changing market dynamics, customer behaviour and competitor activity.
  • Ensure data quality and integrity across location planning and estate analysis.

Benefits

  • Award-winning pension scheme
  • Bonus
  • ShareSave options
  • 6.6 weeks holiday
  • Payroll giving
  • Employee Assistance Programme
  • Shopping discounts
  • Colleague wellbeing benefits
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service