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