Senior Real Estate & Facilities Data Analyst

American Bankers Insurance Company of Florida is hiring a Senior Real Estate & Facilities Data Analyst to transform corporate real estate and facilities data into reporting, insights, and decision-support materials. The role develops analytics, dashboards, forecasts, AI-enabled solutions, and executive presentations to support portfolio strategy, workplace planning, capital investment, and operational improvement.

Responsibilities:

• Collect, cleanse, reconcile, validate, manipulate, and analyze structured and unstructured data from multiple internal and external systems
• Maintain data standards, definitions, ownership, validation procedures, business rules, quality controls, and documentation across Corporate Real Estate data sources
• Monitor data quality, identify discrepancies and root causes, and coordinate remediation with internal teams and external service providers
• Analyze occupancy cost, utilization, lease activity, facilities operations, capital projects, sustainability, workplace experience, employee work arrangements, and portfolio risk
• Develop key performance indicators, benchmarks, forecasts, trends, scenario models, and ad hoc analyses to support portfolio optimization, site consolidation, workplace strategy, lease decisions, and capital investment
• Build, manage, and continuously enhance centralized dashboards, scorecards, reporting tools, and analytical platforms for site-level and consolidated portfolio reporting
• Translate business requirements into scalable data, reporting, visualization, and technology solutions using advanced Excel and business-intelligence tools
• Automate recurring data collection, validation, analysis, and reporting to reduce manual effort and improve the speed, consistency, and reliability of insights
• Support system integrations, data pipelines, interfaces, data warehousing, application programming interfaces, and connections between source systems and reporting platforms
• Maintain recurring Real Estate & Facilities metrics, balanced scorecards, capital budgeting, fixed-asset reporting, and operational reporting as required
• Serve as a Corporate Real Estate resource for artificial intelligence, generative AI, intelligent automation, and emerging analytical technologies
• Identify, prioritize, test, and implement practical AI use cases for document analysis, lease abstraction, portfolio research, forecasting, data-quality monitoring, executive reporting, and employee-service delivery
• Partner with Technology, Information Security, Legal, Risk, and Data Governance teams to support responsible and policy-compliant AI adoption
• Develop user guidance, demonstrations, training materials, and adoption support while maintaining awareness of developments in AI, analytics, commercial real estate technology, and workplace intelligence
• Convert complex data and analysis into clear, concise business recommendations, dashboards, scorecards, business cases, and executive presentations
• Communicate portfolio performance, risks, trends, opportunities, business impact, and recommended actions through effective data visualization and storytelling
• Tailor reporting for executive, operational, financial, and technical audiences and support annual planning, quarterly reviews, leadership meetings, and strategic initiatives
• Partner with Real Estate, Facilities, Finance, Procurement, Human Resources, Technology, Risk, Sustainability, Security, and regional teams to define business questions, reporting requirements, and priorities
• Coordinate cross-functional analytics and technology initiatives, including plans, milestones, dependencies, risks, deliverables, adoption, and performance measures
• Maintain productive relationships with service providers, technology vendors, consultants, and data partners; support continuous improvement and other analyses identified by leadership

Requirements:

• Bachelor's degree in data analytics, business analytics, information systems, computer science, finance, real estate, business administration, engineering, or a related field
• Five or more years of progressive experience in data analytics, business intelligence, data governance, technology, corporate real estate, finance, or a related discipline
• Experience developing complex analyses, dashboards, reports, data-quality processes, or technology-enabled solutions using information from multiple systems
• Advanced proficiency in Microsoft Excel, including complex formulas, PivotTables, Power Query, data modeling, scenario analysis, charts, and large-dataset manipulation
• Experience developing dashboards and visualizations using Power BI, Tableau, or a comparable business-intelligence platform
• Understanding of data governance, data quality, master data, business definitions, controls, validation, and ownership
• Professional experience using artificial intelligence or generative AI tools and an understanding of responsible-use considerations
• Strong analytical, organizational, project-management, problem-solving, written, verbal, presentation, and executive-communication skills
• Ability to translate technical or analytical findings into clear business recommendations, manage multiple priorities independently, and collaborate across functions and organizational levels
• Masters degree in a relevant field
• Experience supporting a geographically dispersed corporate real estate portfolio or working within a Fortune 500 company
• Knowledge of portfolio strategy, transactions, lease administration, occupancy planning, facilities management, capital projects, workplace experience, sustainability, financial modeling, forecasting, benchmarking, and scenario planning
• Experience with integrated workplace management systems, lease-administration platforms, facility-management systems, occupancy technologies, or corporate real estate databases
• Experience working with outsourced service providers, technology vendors, consultants, and cross-functional global teams
• Working knowledge of SQL, Python, DAX, data warehouses, cloud platforms, application programming interfaces, or data-integration tools
• Experience with Microsoft Power Platform, including Power BI, Power Automate, Power Apps, or Copilot
• Experience implementing AI-enabled workflows, large language models, intelligent automation, or predictive analytics
• Intermediate or advanced Microsoft PowerPoint skills and strong data-visualization and storytelling capabilities
• Relevant certification in analytics, data governance, artificial intelligence, project management, Power BI, or commercial real estate