At a Glance
- Tasks: Drive data intelligence in asset management, creating impactful insights with Power BI.
- Company: Join Mapletree, a leader in student housing and living sectors across Europe.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborative team culture focused on innovation and continuous improvement.
- Why this job: Make a real difference by transforming complex data into actionable insights for decision-makers.
- 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.
Manager, Asset Management (Data & Business Intelligence) 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 data analytics and business intelligence, while also enjoying the unique opportunity to influence decision-making processes across a diverse portfolio. With a focus on innovation and continuous improvement, Mapletree empowers its team members to develop their skills and contribute meaningfully to the company's success.
Contact Details:
Mapletree Investments Pte Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Manager, Asset Management (Data & Business Intelligence)
✨Tip Number 1
Network like a pro! Reach out to professionals in the asset management and data analytics sectors. Use platforms like LinkedIn to connect with people who work at Mapletree or similar companies. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your Power BI skills! If you’ve got a portfolio of dashboards or reports, make sure to highlight them in conversations or during interviews. Demonstrating your ability to turn complex data into clear insights will definitely catch their attention.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of financial performance drivers and how they relate to asset management. Being able to discuss these topics confidently will show that you’re not just about the data, but also understand the business side of things.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Mapletree and ready to dive into the asset management world.
We think you need these skills to ace Manager, Asset Management (Data & Business Intelligence)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with Power BI and data analytics, and don’t forget to showcase any relevant projects that demonstrate your ability to translate complex data into actionable insights.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention your understanding of asset management and how your skills can help improve decision-making through high-quality analytics.
Showcase Your Analytical Skills:In your application, be sure to highlight specific examples where you've used your analytical skills to drive business decisions. This could be through performance monitoring tools or scenario analysis that led to significant outcomes.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it shows us you’re genuinely interested in joining our team!
How to prepare for a job interview at Mapletree Investments Pte Ltd
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of data and analytics relevant to asset management. Brush up on your Power BI skills, especially data modelling and DAX, as you'll need to demonstrate your ability to translate complex data into actionable insights.
✨Understand the Business Context
Familiarise yourself with the student housing and living sectors in the UK and Europe. Be prepared to discuss how your analytical skills can directly impact decision-making and performance within these specific markets.
✨Showcase Your Communication Skills
Since this role involves translating technical data for non-technical stakeholders, practice explaining complex concepts in simple terms. Think of examples where you've successfully communicated insights that influenced business decisions.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Prepare to discuss how you would handle data inconsistencies or improve reporting frameworks, showcasing your analytical mindset and proactive approach.
