Local Gov't Homelessness Data Analyst (Temp: West London)

Adecco; London; Hybrid; GBP 30,000 - 50,000; Full time

Job description

Local Gov't Homelessness Data Analyst (Temp: West London)

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:

1. Using a range of languages, tools and software products to develop visualisations and reports which help services to improve.
2. Working in partnership with services to help them understand, manipulate and link their data, taking responsibility for improving data quality and accessibility.
3. Acting as a lead in helping the organisation to create business and user value from data, using analytical techniques to derive insights and opportunities to improve.
4. Contributing to service-specific and organisation-wide innovation projects to help improve the quality and timeliness of decisions and help our client better understand resident need.
5. Supporting an evidence-based decision-making culture in the organisation through championing data analysis, research, evaluation and continuous improvement.
6. Leading independent analytical projects, working with other data professionals to suggest where data extracts, feeds or streams would help to build insight. Translate these insights into a variety of visual, clear reports which help the organisation make better, quicker decisions.
7. Summarising and presenting data and conclusions in the most appropriate format for users using textual, numeric, graphical and other visualisation methods appropriate to the target audience.
8. Creating data dashboards, graphs and visualisations as needed to meet user needs, including suggesting new designs and iterating on existing data service.
9. Interpreting and determining matters of policy related to data analytics, performance and service improvement.
10. Contributing to our client's strategy and policy development through effective data analytics and performance management analysis and input.
11. Advising on solutions to data analytics, performance management and service improvement matters.

Key relationships (both internal & external) in this role will be with:

1. Strategy and Change colleagues, as well as those in other parts of the organisation.
2. External organisations and partners such as the NHS Borough-Based partnership, Office for National Statistics, the Greater London Authority, and the London Office of Technology and Innovation.
3. External providers/consultancies.
4. Local Government networks and employer bodies.
5. Councillors.

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 after Easter in week commencing Tuesday 22nd April 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.