Posted 2 days ago
Deputy Manager, Asset Performance Analysis
AI Summary
Supports data-led asset performance management by consolidating financial, operational and customer data; develops management reports, dashboards and actionable insights; and applies analytics, automation and AI to improve reporting quality and operational efficiency.
About this role
JOB DESCRIPTION
AIM OF THE JOB
This role is responsible for supporting data-led asset performance management across the commercial asset portfolio. The role consolidates financial, operational and customer data; develops recurring and ad-hoc management reports, dashboards and actionable insights; and applies analytics, automation and AI-enabled solutions to improve reporting quality, decision-making and operational efficiency.
KEY AREAS OF RESPONSIBILITY
Asset Performance Analytics & Management Reporting
- Prepare monthly, quarterly, annual and ad-hoc asset performance reports, presentations and Q&A materials for management.
- Consolidate and analyze financial, operational, leasing, customer and other relevant asset data to identify trends, performance gaps, risks and improvement opportunities.
- Develop and maintain KPI frameworks, dashboards and standardized reporting packs to support consistent performance monitoring across assets.
- Translate complex data into clear insights, recommendations and management-ready narratives for decision-making.
- Prepare materials and analytical updates for weekly Asset Management meetings and track agreed follow-up actions.
- Respond to ad-hoc analytical requests from the line manager and management with accurate and timely data.
2. Data Analytics, Automation & AI Enablement
- Identify opportunities to automate recurring reports, data preparation, validation and visualization processes.
- Apply AI and advanced analytics tools to enhance data analysis, generate insights, improve forecasting and increase productivity in day-to-day work.
- Develop practical AI use cases, prototypes and workflows in partnership with business users and relevant technology teams, and support adoption through guidance and training.
- Establish data quality checks, documentation and controls to promote accuracy, traceability, data privacy and responsible use of AI-generated outputs.
- Continuously evaluate new analytics and AI capabilities and recommend fit-for-purpose applications for asset operations.
3. Customer Experience Analytics
- Design and conduct quantitative and qualitative customer surveys across commercial assets.
- Analyze customer and Rewards+ member behavior to produce intelligence reports, segmentation insights and recommended actions.
- Measure customer experience indicators and assess the effectiveness of improvement initiatives.
- Develop and deliver asset-specific customer service training for front-line operations and property management teams, based on identified service gaps and customer insights.
4. Divestment & Investor Support
- Support the line manager and management in preparing accurate data, analysis and information for investors and due diligence activities.
- Coordinate meetings and site visits for investors, including preparation of supporting materials and follow-up information.
- Assist in preparing feasibility studies, board papers and analytical materials for divestment exercises.
5. Governance, Compliance & Other Responsibilities
- Prepare, review and update relevant Standard Operating Procedures and Business Continuity Plans on a regular basis.
- Ensure reports, analytical models and AI-enabled work products comply with applicable internal policies, data governance requirements and approval processes.
- Perform other duties and responsibilities as reasonably assigned by the Head of Department or Management from time to time.
JOB REQUIREMENTS
Qualifications & Experience
- Bachelor's degree in Business, Finance, Economics, Real Estate, Engineering, Data Analytics, Statistics, Information Systems or a related discipline.
- Minimum 4 years of relevant experience in asset performance, business analysis, management reporting, data analytics, real estate operations or a related field; experience managing or supporting projects or workstreams is preferred.
- Strong experience in developing management reports, dashboards, KPI frameworks and executive presentations.
- Advanced proficiency in Excel and PowerPoint; hands-on experience with Power BI or similar visualization tools.
- Experience handling multi-source datasets, data validation and analytical modelling; exposure to commercial real estate or asset operations is preferred.
- Good command of written and spoken English.
Competencies
- Strong analytical thinking and ability to convert data into actionable business insights.
- Business acumen and understanding of asset performance drivers.
- High attention to detail, data accuracy and quality control.
- Curiosity and digital mindset, with the ability to identify practical automation and AI use cases.
- Clear communication, data storytelling and stakeholder management skills.
- Ability to manage multiple priorities, work independently and deliver under tight timelines.
- Collaborative, proactive and committed to continuous improvement.
- Sound judgment in handling confidential information and responsible use of data and AI.
BUSINESS SEGMENT
Real EstatePLATFORM
Operating DivisionSkills
Explore related jobs
More jobs at Keppel Seghers Engineering Singapore Pte. Ltd.
Similar AI-enabled Analytics jobs
Jobs in Ho Chi Minh City
- CAssistant Designer, Graphic DesignCentricbrandsasia · Ho Chi Minh City, Viet Nam
Senior Boomi DeveloperKeyloop · Ho Chi Minh City- Software Engineer (C++)Opswat · Ho Chi Minh City, Ho Chi Minh City
Analytics EngineerAmanotes · Ho Chi Minh City, Vietnam
Account Director, Influencer MarketingAnyMind Group · Ho Chi Minh City, Vietnam
Sales ManagerFlexport · Ho Chi Minh City, Vietnam
Browse these categories
Market data for this role
All reports →- SeriesRole reportsOne role family at a time: how many openings, what changed this week, who is hiring, what it pays.
- SeriesSalary reportsWhat employers publish in job postings, by level and workplace. Not self-reported pay.
- Market overviewState of tech hiring, September 2026: up 4.8%Tech hiring rose 4.8% month over month in September 2026, with 411,122 new listings. Customer support and account executive roles led the growth.