Geographic Information System Analyst

HYDE HOUSING ASSOCIATION · Southwark, ENG, GB

Full-time£43,000Published Jul 23, 2026

Apply directly on HYDE HOUSING ASSOCIATION’s careers site — no account needed.

About the role

Geographic Information System Analyst
Park Street, London Bridge (2 days office based, 3 days remote working)
Up to £43,000

Hyde is looking for a Geographic Information System Analyst to join our collaborative and values-driven team. This is a fantastic opportunity to grow your career in a supportive environment that champions employee wellbeing, continuous learning, and long-term development.

As a Geographic Information System Analyst at Hyde, you will develop, maintain and apply spatial data, mapping and analytical solutions that support effective decision-making across the organisation. You will combine spatial and non-spatial data to identify trends, risks and opportunities, producing clear insight, dashboards and visual outputs that support service delivery, asset management, investment planning and operational performance.


Key Duties

  • Deliver high-quality spatial analysis and geographic insight to support business planning, operational activity and strategic decision-making.
  • Analyse geographic patterns and trends, including service demand, deprivation, stock performance and risk, to inform priorities and improve customer outcomes.
  • Develop, maintain and enhance spatial datasets, mapping layers, GIS models, dashboards and reporting outputs.
  • Use tools such as ArcGIS, Power BI, SQL and similar platforms to extract, manipulate, analyse and present data effectively.
  • Build strong stakeholder relationships, translating technical spatial concepts into clear, practical recommendations for non-technical audiences.

Why Join Hyde?

Hyde is part of the Hyde group one of the UK’s leading housing providers, managing and owning around 120,000 homes nationwide. We’re committed to building safe, sustainable communities where people can thrive. With a strong social purpose, long-term investment plans, and a focus on innovation, Hyde is a place where you can grow your career while making a real difference.

As a Geographic Information System Analyst we’re seeking someone who can bring:

  • Proven experience in GIS, geospatial or spatial analysis roles, delivering accurate mapping, analysis and insight.
  • Strong communication, collaboration and stakeholder management skills, with the ability to explain spatial analysis clearly.
  • Strong technical skills in analytics tools such as Power BI, AWS Analytical Services, Snowflake, Sigma, SQL or similar.
  • A proactive mindset and passion for using location-based intelligence to improve services and customer outcomes.
  • The ability to develop spatial datasets, models, dashboards and visual outputs using tools such as ArcGIS, Power BI and SQL.

The Benefits of Joining Hyde

  • Excellent pension scheme
  • Generous holiday allowance
  • Life assurance
  • Award-winning flexible benefits platform
  • Support for learning and career development
  • Hybrid working options available

Diversity, Inclusion & Accessibility

Equity, diversity and inclusion are central to life at Hyde. We’re committed to creating a truly inclusive workplace where everyone feels respected, valued and able to be themselves. Our aim is to have a workforce that reflects the diversity of the customers and communities we serve, ensuring that different perspectives are represented in decision-making, service delivery, and the way we shape our organisation. By fostering an environment where all voices are heard and valued, we can better understand the needs of our communities and deliver services that are fair, accessible and impactful.

As a Disability Confident Employer, we’re committed to providing reasonable adjustments throughout the recruitment process and beyond.

We reserve the right to close this advert early if a suitable candidate is identified.

Description sourced from the public Indeed listing — this role isn't indexed from the company's career page yet.

Skills

  • SQL
  • Power BI
  • Python
  • PostgreSQL
  • Snowflake
  • AWS

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