At a Glance
- Tasks: Lead data intelligence in asset management, using Power BI to drive insights and decision-making.
- Company: Join Mapletree, a dynamic player in the UK and European real estate market.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Other info: Fast-paced environment with opportunities for growth and innovation.
- Why this job: Make a real impact by transforming complex data into actionable insights for asset managers.
- Qualifications: Degree in relevant field and strong Power BI experience required.
The predicted salary is between 60000 - 80000 £ 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) employer: Mapletree Investments Pte Ltd
Mapletree is an exceptional employer that fosters a dynamic work culture within the UK Asset Management team, particularly in the student housing and living sectors. Employees benefit from a collaborative environment that prioritises professional growth through hands-on experience with Power BI and data analytics, while also enjoying the unique opportunity to influence commercial decision-making across a diverse portfolio. With a commitment to innovation and continuous improvement, Mapletree empowers its team members to develop their skills and contribute meaningfully to the success of the organisation.
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)
✨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 dashboards you've built or insights you've generated from complex data sets. Having tangible examples of your work can really set you apart during interviews.
✨Tip Number 3
Prepare for interviews by understanding the company’s asset management approach. Research Mapletree’s student housing initiatives and think about how your experience aligns with their goals. Tailor your responses to highlight how you can enhance their reporting frameworks and decision-making processes.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can bring their data intelligence skills to our team. Make sure your application reflects your passion for asset management and your expertise in Power BI.
We think you need these skills to ace Asset Intelligence Lead – Real Estate (Power BI)
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 analytical skills can drive decision-making. We love seeing genuine enthusiasm for the role and our mission.
Showcase Your Data Skills:Since this role is all about data, make sure to include specific examples of how you've used data to influence decisions in previous roles. Whether it's through dashboards or reports, we want to see your analytical prowess in action!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter.
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 the key performance drivers in real estate, particularly in student housing. Be ready to explain how financial statements, budgets, and forecasts impact asset management decisions, as this knowledge will demonstrate your commercial acumen.
✨Showcase Your Analytical Skills
Prepare examples of how you've used analytics to identify trends or risks in previous roles. Highlight any tools or methodologies you’ve developed for performance monitoring, as this will illustrate your proactive approach to improving reporting efficiency.
✨Communicate Clearly with Stakeholders
Practice explaining complex data insights in simple terms. Think of scenarios where you had to influence decisions based on your findings, as strong communication skills are crucial for collaborating with asset managers and other stakeholders.
