Data Business Analyst

The Role

We are 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.