At a Glance
- Tasks: Lead data intelligence in asset management, focusing on Power BI and analytics for student housing.
- Company: Join Mapletree, a dynamic player in the real estate sector across Europe.
- Benefits: Competitive salary, professional growth, and a collaborative work environment.
- Other info: Fast-paced environment with opportunities for innovation and career advancement.
- Why this job: Make a real impact by transforming complex data into actionable insights for decision-making.
- Qualifications: Degree in relevant field and strong Power BI experience required.
The predicted salary is between 60000 - 75000 £ per year.
This role sits within Mapletree’s UK Asset Management team, focused on student housing and living sectors across the UK and Europe. The position is designed for a data‑and Power BI‑experienced professional who wants to work inside an asset management environment, enabling stronger commercial decision‑making through high‑quality analytics, reporting and insight.
The role combines asset management context with clear ownership of Power BI, portfolio data, and business intelligence frameworks. The individual will be responsible for building, maintaining and evolving the asset and portfolio reporting ecosystem, translating complex operational and financial data into decision‑ready insight for asset managers and senior stakeholders. This is not a traditional asset manager role and not a standalone IT or reporting function. It is a data intelligence role embedded within asset management, focused on improving how performance, risk and value are understood and acted upon across the portfolio.
- Own and develop the Power BI environment for the UK and European student housing portfolio, including data models, dashboards, reporting standards and visualisations.
- Design and maintain asset‑level and portfolio‑level reporting frameworks covering financial performance, operational metrics, leasing, capex, valuations and returns.
- Translate complex data sets into clear commercial insights that support asset managers in pricing, budgeting, business planning and investment decision‑making.
- Act as the primary point of ownership for data quality, consistency and integrity across asset management reporting, working with internal teams and external partners to resolve gaps and inconsistencies.
- Support annual budgets, reforecasts and business plans through robust analytics, scenario analysis and variance reporting, enhancing insight rather than owning the process.
- Develop performance monitoring tools to identify trends, risks and opportunities across assets and operators, including peer benchmarking and portfolio analytics.
- Lead the evolution of dashboards and self‑service reporting tools, ensuring outputs are intuitive, decision‑focused and aligned with asset management priorities.
- Produce ad‑hoc analysis and insight to support asset reviews, asset optimisation initiatives and investment committee materials.
- Collaborate closely with asset managers, finance, operations and external managers to ensure reporting reflects how assets are actually managed and decisions are made.
- Continuously improve reporting efficiency, automation and usability, reducing manual processes and improving speed and reliability of insight.
Job Requirements
- Degree in Real Estate, Finance, Economics, Engineering, Data Analytics or a related discipline.
- Strong hands‑on experience in Power BI, including data modelling, DAX, dashboard design and performance optimisation.
- Proven experience working with complex financial and operational data in a commercial environment, ideally within real estate, student housing or adjacent living sectors.
- Solid understanding of real estate asset performance drivers, financial statements, budgets, forecasts and valuations, with the ability to translate these into meaningful analytics.
- Experience owning and improving reporting frameworks, data quality and business intelligence standards within a team or organisation.
- Highly analytical, detail‑oriented and commercially minded, with the ability to communicate insight clearly to non‑technical stakeholders.
- Strong stakeholder management and communication skills, with the confidence to challenge, explain and influence through data.
- Self‑motivated, organised and comfortable operating in a fast‑paced asset management environment.
Asset Intelligence Lead – Real Estate (Power BI) in London employer: Mapletree Investments Pte Ltd
Mapletree is an exceptional employer that fosters a dynamic and collaborative work culture within its UK Asset Management team, particularly in the student housing sector. Employees benefit from a strong focus on professional development, with opportunities to enhance their skills in data analytics and business intelligence while contributing to impactful decision-making processes. The company's commitment to innovation and excellence ensures that team members are empowered to take ownership of their roles, making it a rewarding place for those seeking meaningful employment in asset management.
Contact Details:
Mapletree Investments Pte Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Asset Intelligence Lead – Real Estate (Power BI) in London
✨Tip Number 1
Network like a pro! Reach out to people in the asset management and real estate sectors, especially those who work with Power BI. Attend industry events or webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI projects and analytics work. This could be a game-changer during interviews, as it gives potential employers a tangible sense of what you can do. Make sure to highlight how your insights have driven decision-making in past roles.
✨Tip Number 3
Tailor your approach! When you’re applying for roles, especially at Mapletree, make sure to align your experience with their specific needs. Highlight your understanding of asset performance drivers and how you’ve used data to influence business decisions. It’s all about showing you’re the perfect fit!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it’s a great way to ensure your application gets into the right hands. Keep an eye on our careers page for the latest opportunities!
We think you need these skills to ace Asset Intelligence Lead – Real Estate (Power BI) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Asset Intelligence Lead. Highlight your experience with Power BI and any relevant data analytics projects you've worked on. We want to see how your skills align with our needs in asset management.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the student housing sector and how your background makes you the perfect fit for this role. We love seeing genuine enthusiasm and insight into your thought process.
Showcase Your Analytical Skills:In your application, don’t just list your skills—demonstrate them! Include examples of how you've translated complex data into actionable insights in previous roles. We’re looking for someone who can make data speak to non-technical stakeholders.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Mapletree Investments Pte Ltd
✨Know Your Power BI Inside Out
Make sure you’re well-versed in Power BI, especially data modelling and DAX. Prepare to discuss specific projects where you've built dashboards or reporting frameworks, as this will show your hands-on experience and ability to translate complex data into actionable insights.
✨Understand the Real Estate Landscape
Brush up on your knowledge of real estate asset performance drivers and financial metrics. Be ready to explain how these elements influence decision-making in asset management, as this role requires a solid understanding of the commercial environment.
✨Prepare for Stakeholder Scenarios
Think about past experiences where you’ve had to communicate complex data to non-technical stakeholders. Prepare examples that highlight your stakeholder management skills and how you’ve influenced decisions through clear, insightful reporting.
✨Show Your Analytical Mindset
Be prepared to discuss how you approach problem-solving and data analysis. Think of examples where you identified trends or risks in data and how you used that information to support business planning or investment decisions. This will demonstrate your analytical and detail-oriented nature.
