At a Glance
- Tasks: Own and develop Power BI for student housing analytics and reporting.
- Company: Join Mapletree's dynamic UK Asset Management team focused on student living.
- Benefits: Competitive salary, professional growth, and a collaborative work environment.
- Other info: Opportunity to innovate and improve asset management reporting processes.
- Why this job: Make impactful decisions through data-driven insights in a fast-paced setting.
- Qualifications: Experience in Power BI and strong analytical skills required.
The predicted salary is between 60000 - 80000 £ per year.
The 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.
This role combines asset management context with 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.
Responsibilities- 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.
- 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
Mapletree is an exceptional employer that fosters a dynamic and collaborative work culture, particularly within its UK Asset Management team. 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 in the student housing sector. The company's commitment to innovation and excellence ensures that team members are empowered to drive meaningful insights and improvements, making it a rewarding place to build a career.
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 people in the asset management and data analytics fields. Attend industry events, webinars, or even local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI projects and any relevant data analysis work. This will give potential employers a taste of what you can do and how you can add value to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of asset management and data analytics. Be ready to discuss how you've used data to drive decisions in past roles. We want to see that you can translate complex data into actionable insights!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that dream role in asset management!
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 role. Highlight your experience with Power BI and data analytics, and don’t forget to mention any relevant projects that showcase your skills in translating 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 background aligns 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 both your CV and cover letter, emphasise your analytical mindset. We want to see how you’ve used data to drive decision-making in past positions. Include metrics or outcomes where possible to demonstrate your impact.
Apply Through Our Website:We encourage you to apply through our website for a smoother application 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
✨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 Landscape
Familiarise yourself with the key performance drivers in real estate and student housing sectors. Be ready to discuss how financial statements, budgets, and forecasts impact decision-making, and think of examples where your insights have influenced asset management strategies.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical prowess by discussing past experiences where you’ve identified trends or risks through data analysis. Bring examples of how your insights led to improved performance or operational efficiencies, as this will highlight your value to the team.
✨Communicate Clearly with Stakeholders
Practice explaining complex data insights in simple terms, as you’ll need to communicate effectively with non-technical stakeholders. Think of scenarios where you’ve had to influence decisions through data, and be ready to share those stories during the interview.
