At a Glance
- Tasks: Analyse property data using advanced Excel skills to support smart decision-making.
- Company: Join a forward-thinking organisation focused on asset management and data integrity.
- Benefits: Enjoy a competitive salary, flexible working, and generous annual leave.
- Other info: Fixed-term contract until March 2027 with excellent career development opportunities.
- Why this job: Make a real impact by turning data into insights that drive investment planning.
- Qualifications: Advanced Excel skills and a passion for data analysis are essential.
The predicted salary is between 30000 - 40000 £ per year.
We’re looking for a Property Data Analyst with exceptional Excel skills and a passion for turning data into insight. This is a key role supporting our Asset Data and Systems function—helping ensure our data is accurate, meaningful, and drives smarter decision‑making. You’ll combine strong technical ability with a sharp eye for detail, using data to support long‑term investment planning, monitor performance, and provide assurance across the business. Fixed‑term contract until 31 March 2027.
Benefits
- £33,120 per year with annual review
- £500 per year for private medical, dental, gym or insurance
- 27 days annual leave plus bank holidays, with buy/sell options
- Pension employer contributions up to 10%
- Life assurance & wellbeing support for you and family
- Retail discounts
- Flexible working options available
Responsibilities
- Use advanced Excel skills to analyse large datasets, identify trends, and support business decision‑making
- Maintain high‑quality, accurate asset data to support investment, compliance, and regeneration programmes
- Support the development of 5‑ and 30‑year planned investment programmes
- Produce detailed reports, dashboards and financial forecasts for internal stakeholders
- Manage and report on property and energy performance data across our portfolio
- Support the delivery of stock condition surveys and associated data programmes
- Lead testing and implementation of new systems, modules and data improvements
- Provide training and guidance to colleagues to ensure effective use of asset data systems
- Ensure all asset data is compliant, up to date, and aligned with business processes
Essential Qualifications
- Advanced Excel skills (formulas, pivot tables, data modelling, analysis of large datasets)
- Strong numerical and analytical ability—comfortable with number crunching and interpreting complex data
- Experience working with data systems and producing reports to support business performance
- High attention to detail and a commitment to data accuracy and integrity
- Ability to communicate data insights clearly to non‑technical audiences
Desirable
- Experience within housing, asset management or property data environments
- Knowledge of asset compliance and investment planning
- Experience implementing or supporting integrated data systems
- Relevant IT or data‑related qualification
- PRINCE2 Practitioner or similar project management experience
Closing date: 17th July 2026.
Property Data Analyst employer: Bromford
Join a forward-thinking organisation as a Property Data Analyst, where your expertise in Excel and data analysis will directly contribute to smarter decision-making and long-term investment planning. Enjoy a supportive work culture that prioritises employee wellbeing with generous benefits, including flexible working options, comprehensive health coverage, and opportunities for professional growth. Located in a vibrant area, this role offers a unique chance to make a meaningful impact while enjoying a balanced work-life environment.
StudySmarter Expert Advice🤫
We think this is how you could land Property Data Analyst
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Bromford before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Bromford.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Bromford.
We think you need these skills to ace Property Data Analyst
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Bromford, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Bromford, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Bromford’s attention and show the tangible impact of your work.
How to prepare for a job interview at Bromford
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Bromford.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Bromford.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Bromford.
