Data Business Analyst

Company: Supply Staff Limited
Apply for the Data Business Analyst
Location: London
Job Description:

The Role

Our client is looking for a skilled Data Business Analyst to support our Housing Directorate, managing over 21,000 homes across the city.

This is a key role combining data analysis, business analysis and systems thinking, helping transform how data drives decision‑making, service delivery and investment planning.

You will work across business and technical teams to turn complex datasets into clear, actionable insights, improving housing services and resident outcomes.

Key Responsibilities

  • Analyse complex housing and asset data to support strategic planning and decision‑making
  • Identify data quality issues, duplication and process inefficiencies across services
  • Support asset lifecycle planning and investment programmes using data‑led insights
  • Develop dashboards, reports, heatmaps and performance metrics
  • Enable predictive maintenance and risk‑based service delivery models
  • Work closely with Housing, IT and stakeholders to improve systems and data usage
  • Support digital and transformation programmes across the directorate
  • Produce business analysis outputs including process maps, requirements and project documentation
  • Ensure compliance with GDPR, data governance and ICT security standards
  • Liaise with system providers on improvements, upgrades and issue resolution

About You

Essential Experience

  • Strong background in data analysis and business analysis
  • Experience using tools such as SQL, Python, R or similar
  • Proven experience working with large, complex datasets
  • Ability to translate technical insights into clear, non‑technical recommendations
  • Experience delivering data‑driven change or transformation initiatives
  • Strong stakeholder engagement across technical and non‑technical teams

Desirable

  • Experience within housing, asset management or local government
  • Knowledge of Building Safety, Decent Homes or housing regulations
  • Familiarity with NoSQL (e.g. MongoDB)
  • Understanding of data standards (GDS, governance frameworks)

If you are interested in this role please send your updated CV in the first instance.

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Posted: May 21st, 2026