Local Gov't Housing Data Analyst Temp: West London

Adecco
London
4 days ago
Create job alert

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 (36 hours per week, Monday to Friday) working hybridly from our client's West London office 2 days each week, and previous experience of working within a local government housing department would be highly desirable.

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:

  • Designing, developing, testing and debugging SQL Server Integration Services (SSIS) against BI Power reports
  • Providing technical support to interpret business and service needs enabling new and improved reports
  • Being an expert for the housing business, when discussing the use of Big Data and explaining the stories the data evidences against report outputs.
  • Providing drive optimal, innovative, scalable and high performing solutions for Business Intelligence and Visualisation, as part of a broader Data and Analytics portfolio
  • Working with business & IT partners to understand data, improve the data and deliver informative solution visually which integrates backend data base.
  • Influencing and educating business users to ensure data is accurate and evidences alignment to business deliverables and targets.
  • Guiding and leading solution delivery for Business Intelligence and Visualisation of data
  • Working with functional and technical associates to gather, refine business requirements, provide technical support/consulting, plan and prioritise work, coordinate the estimation and quotation for work to be done by various teams.
  • Building out using SQL and progress databases for Power BI reports
  • Transforming raw data into meaningful insights.
  • An ability to produce interactive and user-friendly dashboards and reports.
  • Performing a wide range of tasks such as reporting, building dashboards, building data models, analysing datasets, and administration of Power BI tools.
  • Must have extensive knowledge and expertise in business intelligence, databases, and technical aspects of BI tools.
  • Experience in data preparation, data gateway, and data warehousing projects
  • Experience working with the Microsoft Business Intelligence Stack (Power BI, SSAS, SSRS, and SSIS)
  • Experience with a self-service tool such as Power BI or Tableau
  • Understanding of SQL, and an ability to produce reports with direct backend data feeds to support updates.

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

  • Strategy and Change colleagues, as well as those in other parts of the organisation
  • 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
  • External providers/consultancies
  • Local Government networks and employer bodies
  • 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 housing organisation would be highly desirable. Interviews will take place virtually, 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.

Related Jobs

View all jobs

2 x Data Analyst - Local Authority

Data Analyst

2 x Data Analyst - Local Authority

Data Engineer

Data Analyst

Level 5 Data Engineer Apprentice

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.