Housing Needs Research and Data Analyst

Venn Group
London
8 months ago
Applications closed

Related Jobs

View all jobs

Housing Needs Research and Data Analyst

Data Analyst

Systems and Data Analyst

Assistant Housing Asset Data Analyst

Technical Building Data Analyst

Interim Housing Needs Research and Data Analyst

Based in East London, hybrid working

Length: 3-Months (Potential for extension)

Inside IR35

We are working with a London local authority to recruit for a Housing Needs Research and Data Analyst to join their inclusive economy and housing directorate. This is a unique opportunity to apply your analytical expertise to a critical social mission. Working closely with colleagues across homelessness prevention, temporary accommodation, and housing allocations, you’ll lead on performance reporting, data insight, research, and predictive analysis that informs key decisions and strategic priorities.

Key Responsibilities of the Interim Housing Needs Research and Data Analyst:


Lead on managing, interpreting and reporting complex housing data to monitor outcomes, highlight challenges, and inform service designDeliver robust Power BI dashboards and T-SQL solutions to support intelligent performance management across Housing NeedsPartner across departments and with external stakeholders to align strategy and insight, supporting the delivery of our Homelessness and Rough Sleeping StrategyShape service improvements through data-driven innovation, enabling smarter, more preventative housing interventionsCoordinate the delivery of statutory returns, Freedom of Information requests, and internal performance reports to senior officers, elected members, and government bodiesSupport system development, ensuring business continuity for critical data services

Skills and knowledge required of the Interim Housing Needs Research and Data Analyst:


Strong experience in advanced data analytics, including SQL (T-SQL) and Power BI development with previous experience within a public sector organisationProven ability to deliver insights from complex datasets, ideally in a local authority or public sector contextUnderstanding of homelessness legislation, housing allocations, and performance reporting requirements

*Venn Group’s “Recommendation Scheme”: if you recommend a candidate who is subsequently placed by Venn Group (for a minimum of 2 weeks) you will be eligible for vouchers from a choice of high street organisations

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.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.