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A leading Local Government client is seeking a Data Analyst to join their homelessness department in a temporary full-time role in West London. The position involves analyzing data for management insights, improving data quality, and supporting evidence-based decision-making. Ideal candidates will have experience with modern tools like R and Python for data analysis and visualization. Interviews will be conducted virtually, and applicants should be available for immediate start or within a short notice period.
An exciting opportunity has emerged for a Data Analyst to join the homelessness department at one of Adecco's leading Local Government clients in a temporary role for the next six months, with potential extension beyond this. This is a full time role (35 hours per week, Monday to Friday) working hybridly from our client's West London office 1-2 days each week.
The role will be reporting directly into the Assistant Director Housing Demand/ Programme Director, and the work is analysing data in the service to provide management insight and is core to financial control within housing demand. It will assist in providing accurate budgetary forecasting and analysis of their cohort in temporary accommodation, and those households presenting as homeless, and will enable the effective prioritisation of project work to manage spend within the directorate as well as improve outcomes for residents.
There are data quality issues within our client's systems, so this role would need to actively understand the accuracy of the data, cross-compare sources and potentially do other investigatory work to provide a view about reliability, as well as identify ways to data cleanse and resolve some of the issues identified.
Other key elements of this role include:
Key relationships (both internal & external) in this role will be with:
The ideal candidate will be somebody who is an expert in understanding and applying a range of modern tools and techniques to analyse data, as well as excellent skills in querying and reporting on datasets through modern tools such as R, Python etc, including creating dashboards and visualisations.
Substantial experience of working in data and analysis in a local authority or related field would be highly desirable, but our client is happy to consider suitable candidates from all backgrounds. Interviews will take place virtually before Christmas 2025, and applicants will ideally be immediately available or on a short notice period (1-2 weeks' maximum).
Only applicants who feel they meet the above criteria need apply.