Data Analyst – Housing
Ref: JO-2608-362689
- United Kingdom, London
- Data, AI and Machine Learning, Technology
- IT
- 50 - 249 Employees
- £450.00 - £450.00 per annum
- Environment: Hybrid
- Contract Type: Contract
- Starts: 2026-09-14
- Duration: 6 Months
Data Analyst (Housing)
Location: Essex (2 days per week onsite)
Rate: £450 per day Umbrella (£350.88 PAYE)
Contract: 6 Months
We are looking for an experienced Data Analyst to support a major Housing Asset Management data improvement programme.
Working within a Local Authority environment, you will play a key role in improving the quality of housing asset data, supporting project delivery and ensuring the council has accurate information to drive decision making.
Key Responsibilities
- Support a large scale data cleansing and data quality improvement programme.
- Work closely with the Lead Analyst to improve data held within the Housing Asset Management system.
- Validate, cleanse and maintain housing asset data.
- Produce reports and dashboards to monitor progress and data quality.
- Track project milestones, risks, actions and dependencies.
- Hold project teams accountable for agreed actions and highlight delivery risks.
- Produce regular progress reports for stakeholders.
- Support project coordination across the Housing Asset Management improvement programme.
- Engage with both technical and non technical stakeholders.
Essential Skills
- Previous experience as a Data Analyst.
- Experience working within Housing, Asset Management or Local Government.
- Strong experience with data cleansing, validation and data quality improvement.
- Excellent reporting and analytical skills.
- Advanced Excel and Power BI experience.
- Ability to manage multiple priorities simultaneously.
- Strong stakeholder management and communication skills.
- Experience tracking project plans, actions and risks.
Desirable
- Experience using MRI Asset Management, Orchard or similar Housing Management systems.
- Knowledge of Housing Asset Management data.
- Project Management or PMO experience.
*Rates depend on experience and client requirements

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