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

Apply Now

Data Analyst (Property)

BramahHR Ltd
London
2 weeks ago
Create job alert

Please note you must have previous property data exposure to be considered either within PBSA/BTR or multifamily property).

Are you passionate about uncovering insights from data and turning them into strategies that drive business success? We’re looking for a Data Analyst who can blend technical expertise with commercial awareness. In this role, you’ll have the chance to shape pricing, marketing, sales, and operational decisions by putting evidence at the heart of our strategy.
You’ll work across teams, combining competitor intelligence, internal reporting, and advanced analysis to help guide key decisions. From monitoring rental trends to supporting financial modelling, this role is all about making sure the numbers tell the right story.

What You’ll Be Doing
Your day-to-day will be varied and hands-on. Typical tasks include:

Tracking occupancy levels, rental values, and competitor benchmarks.
Building demand models that account for seasonality and market changes.
Producing forecasts to support revenue growth and leasing plans.
Developing dashboards and visual reports in tools such as Power BI or Tableau.
Collaborating with colleagues on pricing strategies and proposals.
Ensuring smooth data migration when new systems are introduced.
Validating and cleaning data to maintain integrity and reliability.
Documenting processes and testing outputs for accuracy.
Delivering ad-hoc reports for strategic projects or expansion initiatives. What You’ll Need to Succeed
We’re looking for someone who enjoys working with complex data but can also explain insights in a simple way. You’ll need:

Strong skills in Excel and SQL.
Experience designing dashboards and data visualisations.
Attention to detail, with excellent problem-solving ability.
The confidence to communicate findings to people with or without technical knowledge.
The ability to work to deadlines while juggling several projects
Experience in property.
Familiarity with revenue management or dynamic pricing.
Exposure to CRM or property management systems (e.g., StarRez, Entrata, Salesforce, Hubspot). Who You Are
We’d love to meet someone who is:

A self-starter who thrives on solving problems.
Curious about data and eager to apply it in practical, commercial ways.
Organised, reliable, and comfortable with shifting priorities.
Proud of delivering insights that make a real difference.  
Job Type: Full-time
 
Benefits:

Work from home

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

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.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.