At a Glance
- Tasks: Drive data intelligence in asset management, enhancing decision-making with Power BI and analytics.
- 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: Fast-paced role with excellent career advancement potential.
- 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 - 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) in London 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) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the asset management and data analytics fields on LinkedIn. Join relevant groups, attend 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 any data analysis work you've done. This can be a game-changer during interviews, as it gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Research common questions related to asset management and data intelligence. Practice articulating how your experience aligns with the role, especially your ability to translate complex data into actionable insights.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can help us enhance our asset management capabilities. Your next big opportunity could be just a click away!
We think you need these skills to ace Manager, Asset Management (Data & Business Intelligence) in London
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 passionate about asset management and how your skills align with our needs. Be sure to mention specific examples of how you've improved reporting frameworks or data quality in previous roles.
Showcase Your Analytical Skills:In your application, emphasise your analytical mindset. We want to see how you’ve used data to drive decision-making in past roles. Include any tools or methodologies you’ve used to enhance reporting efficiency or identify trends.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. 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 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 Asset Management Context
Familiarise yourself with the nuances of asset management, particularly in student housing and living sectors. Be ready to explain how your analytical skills can enhance decision-making for asset managers and senior stakeholders, demonstrating your understanding of financial performance drivers.
✨Prepare for Stakeholder Scenarios
Think of examples where you've had to communicate complex data insights to non-technical stakeholders. Practice explaining how you’ve influenced decisions through data, as strong communication skills are key in this role.
✨Show Your Problem-Solving Skills
Be prepared to discuss how you've tackled data quality issues or improved reporting frameworks in previous roles. Highlight your analytical mindset and detail-oriented approach, as these traits will resonate well with the interviewers looking for someone who can enhance reporting efficiency.
