Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Local Gov'T Housing Data Analyst (Temp: West London)

Adecco
London
1 day 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 1-2 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 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.

Related Jobs

View all jobs

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

Junior Data Engineer - 32482

Junior Data Engineer - 32482

Junior Data Engineer - 32482

Junior Data Engineer - 32482

Junior Data Engineer - 32482

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.