At a Glance
- Tasks: Lead data analytics and Power BI for student housing asset management across the UK and Europe.
- Company: Mapletree, a dynamic player in the asset management sector.
- Benefits: Competitive salary, professional growth, and a collaborative work environment.
- Other info: Join a team focused on innovation and continuous improvement in reporting.
- Why this job: Make impactful decisions through data insights in a fast-paced asset management role.
- Qualifications: Degree in relevant field and strong Power BI experience required.
The predicted salary is between 59400 - 72600 £ per year.
Manager, Asset Management (Data & Business Intelligence)
Date
Location
London, United Kingdom
Company
Mapletree
The Role
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
- Job 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.
- 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.
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Manager, Asset Management (Data & Business Intelligence) employer: One Verandah by Mapletree
Mapletree is an exceptional employer that fosters a dynamic work culture in the heart of London, offering employees the chance to thrive in the asset management sector focused on student housing and living. With a strong emphasis on professional growth, employees benefit from hands-on experience with cutting-edge data analytics tools like Power BI, while collaborating closely with diverse teams to drive impactful decision-making. The company prioritises innovation and efficiency, ensuring that team members are empowered to enhance their skills and contribute meaningfully to the organisation's success.
StudySmarter Expert Advice🤫
We think this is how you could land Manager, Asset Management (Data & Business Intelligence)
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like One Verandah by Mapletree!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Manager, Asset Management (Data & Business Intelligence)
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at One Verandah by Mapletree, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at One Verandah by Mapletree
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with One Verandah by Mapletree’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
