Business Senior Analyst - Assistant Vice President, Real Estate Services

About the role

Citi's Enterprise Services and Public Affairs (ESPA) is seeking a Business Senior Analyst to join the Real Estate Services (RES) Global Business Execution Team in Singapore. The role supports the Data Strategy & Management team in advancing data-driven decision-making, process excellence and business transformation across RES, combining corporate real estate domain knowledge, business process management expertise and project delivery experience.

Key responsibilities

• Analyze, map, redesign and govern end-to-end business processes across RES, driving efficiency, standardization, controls and scalability
• Lead cross-functional projects from requirements gathering through implementation, coordinating stakeholders and managing milestones
• Develop business cases, project roadmaps and implementation plans for process, technology, data and organizational change initiatives
• Establish process architecture, standards, documentation and governance frameworks
• Drive data governance with data owners and system stakeholders, setting standards, ownership, quality controls, KPIs and critical data elements
• Support and evaluate proofs of concept and pilots involving AI, automation, process optimization and digital transformation
• Analyze business, operational and market data to generate insights for strategic decisions

Required profile

• 5-6 years of professional experience as a Business Analyst or similar role
• Deep domain experience in corporate real estate, facilities management or construction
• Demonstrated experience leading cross-functional projects and driving business change
• Bachelor's degree in Business Administration, Real Estate, Project Management, Engineering, Data Analytics or a related discipline
• Experience in global organizations and matrix environments is highly desirable

Required skills

• Process improvement, operational excellence, business transformation and organizational change management
• Business process mapping, analysis and reengineering
• Foundational understanding of data governance, data quality and data management
• Exposure to AI/ML concepts or predictive analytics projects is a plus
• Strong communication with senior leadership and stakeholder management