Housing Data Analyst

BRE aims to be the world’s leading innovation, science and data hub for the built environment. For more than a century, we have provided government and industry with cutting‑edge research and testing. Join us to help deliver products, advice, services, standards and qualifications used around the globe to make buildings better for people and the environment. Through science‑led solutions to urgent challenges, we will build a thriving and sustainable world.

As a Housing Data Analyst within our expanding Housing Data and Insights team, you will contribute to national housing research and data analysis projects that inform housing, energy and health policy across the UK. Working alongside data analysts and data scientists, you’ll support the delivery of insights that help improve housing quality and reduce fuel poverty.

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• Analyse data from national housing surveys, particularly the English Housing Survey (EHS).

  
  

• Develop, maintain and validate housing and energy models that inform national and local policy.

  
  

• Undertake research and numerical modelling on energy efficiency, fuel poverty, housing condition and carbon emissions.

  
  

• Produce clear and accurate research reports, visualisations and presentations for clients.

  
  

• Apply innovative data science methods and emerging technologies to enhance data insight and efficiency.

  
  

• Support the delivery of BRE’s data strategy through improved processes and analytical accuracy.

  
  

• Contribute to project delivery, ensuring outputs meet agreed timescales and quality standards.

  
  

We are looking for someone who can contribute to our data‑led approach to improving housing quality and performance. The role requires a blend of technical capability, analytical thinking and a structured approach to delivering high‑quality outputs.

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• Strong analytical and statistical skills, with experience working with large and complex datasets.

  
  

• Understanding of housing, energy, or environmental data, ideally gained through research or consultancy projects.

  
  

• Ability to develop, apply, and interpret data models, including household energy or thermal performance models.

  
  

• Experience using analytical or statistical software such as R, Python or SPSS.

  
  

• Excellent written and verbal communication skills, with the ability to present data and insights clearly.

  
  

• Strong organisational skills, with the ability to manage multiple tasks and meet project deadlines.

  
  

• Collaborative mindset, contributing effectively within multidisciplinary project teams.

  
  

• Commitment to quality, accuracy, and continuous improvement in analytical work.

  
  

At BRE, we offer a competitive salary, reviewed annually, along with a comprehensive benefits package designed to support your financial security, well‑being, and career development.

Financial & Security Benefits

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• Pension scheme – 5% employer‑matched contribution
  

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• Life assurance – 4x your basic salary
  

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• Enhanced maternity package
  

Health & Wellbeing

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• HealthPartners cashback scheme – Reclaim costs on prescriptions, physiotherapy, dental care, and more
  

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• Onsite facilities – Restaurant, nursery, and free parking, including at‑cost EV charging points
  

Career Development

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• Learning & development – Free access to BRE Academy and our online learning platform
  

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• Professional membership reimbursement
  

For full details on our benefits, visit: BRE Employee Benefits

Flexi‑Hybrid – This role is primarily home‑based, with travel to our head office in Watford for planned meetings once a week.

At BRE, we value the relationships we have built with our preferred recruitment partners. We do not accept unsolicited CVs from employment agencies. Any CVs submitted directly to a BRE employee or hiring manager without a signed BRE Employment Agency Agreement and an active engagement for the specific role will be considered unsolicited. In such cases, no fees will be payable should the candidate be hired through this or any other means.

BRE is an equal opportunities employer. We assess all qualified applicants based on merit and do not discriminate on the grounds of race, colour, religion, sex, age, national origin, disability, veteran status, genetic information, or any other legally protected characteristics.

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