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- Tasks: Analyse data to enhance customer experiences and inform strategic decisions.
- Company: Join a rapidly growing property management company with an innovative culture.
- Benefits: Enjoy a pension scheme, private healthcare, and flexible work options.
- Other info: Great opportunities for career advancement in a dynamic environment.
- Why this job: Make a real impact in urban renting while developing your analytical skills.
- Qualifications: Experience in data analysis and strong communication skills are essential.
The predicted salary is between 30000 - 40000 £ per year.
We are seeking a curious and commercially minded Data Analyst. While this role is based in the residential rental sector, we actively welcome applications from professionals with experience in hospitality, airlines, or broader real estate industries, particularly those who bring a passion for elevating customer experience through data-driven decisions.
The core mission is to redefine urban renting delivering a seamless, service-led living experience. Your analysis will directly inform pricing strategies, marketing performance, resident satisfaction, leasing effectiveness, and broader commercial planning across our portfolio.
Company Overview
CompassRock provides asset and property management services to the rental housing sector. Originally founded in the U.S., the company has expanded to the UK and is rapidly growing its portfolio of Build-to-Rent (BTR) assets across England and Europe. Backed by private equity, CompassRock is in an exciting growth phase, actively acquiring and developing new assets at a fast pace. With an entrepreneurial and innovative culture embedded in its DNA, the company values the dynamic, forward-thinking individuals it employs.
As CompassRock continues to expand, there will be abundant opportunities for career advancement and professional development.
What You'll Do
- Leverage large datasets to generate actionable insights around resident behaviour, leasing trends, retention, and demand drivers.
- Support the leasing and revenue teams by identifying opportunities for rent optimisation, concession planning, and lead conversion improvement.
- Monitor and analyse digital marketing channel performance (e.g. PPC, aggregators, OTAs), particularly for lease-ups and new openings.
- Benchmark operational and service KPIs such as occupancy, turnaround times, customer service touchpoints across sites or regions.
- Translate data into clear visual dashboards and compelling presentations for senior stakeholders.
- Collaborate cross-functionally with marketing, leasing, revenue management and operations to improve the end-to-end resident experience.
Requirements
- Proven analytical experience in BTR, hospitality, airlines, hotels, or real estate.
- Experience in building and structuring datasets or data cubes to support scalable reporting and analytics, ideally with a view to implementing BI tools such as Tableau or Power BI.
- Proficient in working with large datasets using tools like SQL and Excel.
- A commercial mindset with the ability to link data insights to real business outcomes.
- Strong communication skills, you know how to turn complex numbers into actionable recommendations.
- Curious, collaborative, and highly adaptable.
Bonus if you have:
- Experience in revenue management, pricing analytics, or marketing attribution.
- Exposure to customer or guest satisfaction data (e.g. NPS, reviews, feedback tools).
- Previous work with leasing systems or property management software.
Benefits
- Company Pension Scheme;
- Vitality Private Healthcare Insurance;
- Company Sick Pay;
- Bike to Work Scheme.
Data Analyst in London employer: The Land Collective
Contact Detail:
The Land Collective Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects. Use real-world examples that highlight your ability to turn data into actionable insights, especially in areas like pricing strategies and customer satisfaction.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions. Be ready to discuss how you've used tools like SQL and Excel to solve problems. And don’t forget to highlight your commercial mindset and how it links to business outcomes!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team and contributing to redefining urban renting.
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Show Your Curiosity: As a Data Analyst, curiosity is key! Make sure to highlight your inquisitive nature in your application. Share examples of how you've used data to uncover insights or solve problems in previous roles.
Tailor Your Experience: We want to see how your background fits with our mission. If you’ve worked in hospitality, airlines, or real estate, make those experiences shine! Connect the dots between your past roles and what we do at CompassRock.
Be Clear and Concise: When it comes to data, clarity is crucial. Use straightforward language to explain your analytical skills and how they translate into actionable business outcomes. Avoid jargon unless it’s necessary!
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at The Land Collective
✨Know Your Data Tools
Make sure you're familiar with the tools mentioned in the job description, like SQL and Excel. Brush up on your skills and be ready to discuss how you've used these tools to analyse data in previous roles.
✨Showcase Your Analytical Mindset
Prepare examples of how you've turned data insights into actionable business strategies. Think about specific instances where your analysis led to improved outcomes, especially in sectors like hospitality or real estate.
✨Communicate Clearly
Practice explaining complex data findings in simple terms. You might be asked to present your insights during the interview, so being able to communicate effectively is key. Use visuals if you can!
✨Demonstrate Curiosity and Collaboration
Be ready to discuss how you've worked cross-functionally in the past. Highlight your curiosity about data and how it can enhance customer experience, as this aligns perfectly with the company's mission.