Data Analyst (Building)Council

Key details

• Hours: 37 hours per week, Full Time
• Package: Flexible working arrangements / Membership of the Local Government Pension Scheme / Generous leave entitlement / Free parking / Discounted Corporate Gym Membership

Tendring District Council is seeking a talented and motivated Data Analyst to join our Building and Public Realm Directorate.

This is an exciting opportunity to play a key role in supporting housing asset management, compliance, repairs, maintenance and capital investment programmes through the delivery of high-quality data analysis, business intelligence and performance reporting. The role supports evidence-based decision making, regulatory assurance and continuous service improvement across Building Services.

As Data Analyst, you will work with large and complex datasets to provide insight into service performance, asset condition, compliance and operational efficiency. Your work will directly support senior managers in making informed decisions, identifying risks and planning future investment in the Council's housing assets and services.

About the Role

Reporting to the Assistant Director - Building and Public Realm, you will:

• Develop and maintain performance reporting frameworks across Building Services.
• Design and produce dashboards, management information and business intelligence reports using appropriate reporting and analytical tools.
• Produce weekly, monthly and quarterly performance and compliance reports.
• Analyse service performance data, identify trends and support service improvement initiatives.
• Support the management of housing asset information, stock condition data and lifecycle planning.
• Develop investment forecasts, predictive modelling and asset intelligence to support long-term planning.
• Monitor and analyse compliance information relating to gas, electrical, fire, asbestos, water hygiene and lift safety programmes.
• Produce assurance reports and compliance dashboards to support audits, inspections and regulatory reviews.
• Analyse repairs, voids, complaints, damp and mould, contractor performance and other operational datasets to identify emerging risks and opportunities.
• Establish and maintain robust data quality standards, validation processes and governance controls.
• Support service reviews, transformation projects, business cases, financial planning and investment appraisal activities.

Interview Date: 26th/ 27th Novmeber 2026.

Position type: Full Time