National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Junior Data Analyst

The Housing Network
Luton
6 days ago
Create job alert

The Housing Network - Who are we?

We are The Housing Network (THN), a private Limited Company with a purpose.

We exist to provide 'More than a Roof', because when life is at its toughest, we believe everyone deserves a safe and stable place to rebuild their lives.

Homelessness is a vast and complex issue that does not have a single solution. In understanding that reality, we've learned the importance of perspective; appreciating that if we continue to innovate, collaborate, and give our best, we are playing our part in making a vital difference.

We are a team that is absolutely committed to innovate, excel and be dependable in all that we do.

Working hard together to achieve our mission of providing Better Accommodation, Better Support, Better Partnerships, and as a result Better Business.

Role Overview - What is it?

We are seeking a detail-oriented and enthusiastic Data Analyst to support the collection, analysis, and reporting of data across our housing operations. You will play a key role in helping the organization understand trends in tenancy management, finance, LA reporting and resident satisfaction. This is a great opportunity for someone with experience of data management and presentation who is passionate about social impact and eager to grow in a supportive environment.

Main Duties - What needs to be done?

  • Collect, clean, and validate data from various housing management systems.
  • Produce regular business-as-usual (BAU) reports to support day-to-day operations and performance monitoring on key metrics (e.g., voids, repairs, support sessions, financial model) and help drive a data-informed culture across the organization.
  • Help keep data guides up to date and create simple step-by-step instructions (SOPs) to support everyday tasks.
  • Work with stakeholders in the business on ad-hoc projects to analyse data and present in an insightful manner.

Competencies - Who with and your skill level?

Essential Skills & Qualifications

  • A degree or equivalent experience in a relevant field (e.g., Computer Science, Statistics, Business or IT).
  • Intermediate to Advanced proficiency in Excel and an understanding of data manipulation techniques (e.g., Pivot tables, Vlookups, Power Query, VBA).
  • Familiarity with data visualization tools such as Power BI or Excel charts.
  • Strong analytical thinking and attention to detail.
  • Good communication skills with the ability to explain findings to non-technical stakeholders.
  • An interest in social issues, housing policy, or public service.


Desirable Skills

  • Experience working in or with the social housing sector, local government or a letting agency.
  • Exposure to SQL or Python for basic data querying or analysis.
  • Understanding of data protection principles.

bWF0dC44OTA4MC4xMjI3MUBob3VzaW5nbmV0d29yay5hcGxpdHJhay5jb20.gif

Related Jobs

View all jobs

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

National AI Awards 2025

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 to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.