At a Glance
- Tasks: Uncover insights from property data to drive business strategies and decisions.
- Company: Dynamic company focused on property data analysis with a collaborative culture.
- Benefits: Work from home, competitive salary, and opportunities for professional growth.
- Other info: Join a team that values curiosity and problem-solving in a fast-paced environment.
- Why this job: Make a real impact by turning data into actionable insights in the property sector.
- Qualifications: Strong Excel and SQL skills, experience in property data analysis, and dashboard design.
The predicted salary is between 35000 - 45000 £ per year.
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
- 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
- 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
- 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
Remote Data Analyst Property in Warrington employer: BramahHR Ltd
As a Remote Data Analyst in the property sector, you will join a forward-thinking company that values data-driven decision-making and fosters a collaborative work culture. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the flexibility of working from home, allowing you to balance your professional and personal life effectively. This role not only offers the chance to influence key business strategies but also to be part of a team that is passionate about leveraging data to drive success in the dynamic property market.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Analyst Property in Warrington
✨Tip Number 1
Network like a pro! Reach out to people in the property data field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to property. This will give potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios in the property sector. Be ready to discuss how you've tackled similar challenges in the past and how you can bring value to their team.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your property data experience and how it aligns with our needs.
We think you need these skills to ace Remote Data Analyst Property in Warrington
Some tips for your application 🫡
Show Your Property Data Experience:Make sure to highlight any previous experience you have with property data, especially in PBSA/BTR or multifamily property. We want to see how your background aligns with the role, so don’t hold back on those relevant details!
Keep It Clear and Concise:When writing your application, aim for clarity. We love data, but we also appreciate straightforward communication. Make your insights easy to understand, even for those who might not be as data-savvy.
Demonstrate Your Technical Skills:Don’t forget to showcase your skills in Excel, SQL, and any dashboard tools like Power BI or Tableau. We’re looking for someone who can blend technical expertise with commercial awareness, so let us know how you’ve used these tools in past projects.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at BramahHR Ltd
✨Know Your Data Inside Out
Make sure you brush up on your property data knowledge before the interview. Familiarise yourself with key metrics like occupancy levels and rental values, as well as any recent trends in the PBSA/BTR or multifamily property sectors. Being able to discuss these topics confidently will show that you're not just technically skilled but also commercially aware.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Excel and SQL during the interview. You might be asked to solve a problem or analyse a dataset on the spot, so practice common tasks like creating pivot tables or writing queries. If you've designed dashboards in Power BI or Tableau, bring examples to share; visuals can speak volumes!
✨Communicate Clearly
Remember, not everyone will have a technical background, so practice explaining complex data insights in simple terms. Think of how you would present your findings to a non-technical audience. This skill is crucial for collaborating with colleagues on pricing strategies and proposals, so be ready to showcase your communication prowess.
✨Be Ready for Scenario Questions
Expect questions that assess your problem-solving abilities and how you handle multiple projects. Prepare examples from your past experiences where you successfully managed deadlines or adapted to shifting priorities. Highlighting your organisational skills and ability to deliver impactful insights will set you apart from other candidates.
