Senior Real Estate & Facilities Data Analyst

Overview of Position

The Senior Real Estate & Facilities Analyst supports the Global Corporate Real Estate organization by transforming complex portfolio, financial, occupancy, lease, project, facilities, workplace, sustainability, and employee data into accurate reporting, actionable insights, and decision-support materials.

This role combines advanced analytics, data governance, business intelligence, technology enablement, and practical artificial intelligence capabilities with strong corporate real estate knowledge. The analyst develops dashboards, scorecards, forecasts, scenario models, business cases, and executive presentations that support portfolio optimization, workplace strategy, capital investment, lease decisions, operational improvement, and long-term planning.

The successful candidate is detail-oriented, technically capable, and able to communicate complex findings clearly to executive, financial, operational, and technical audiences while partnering effectively across functions and with external service providers.

What will be my duties and responsibilities in this job?

Data Analytics, Governance & Portfolio Analysis (25%)

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Collect, cleanse, reconcile, validate, manipulate, and analyze structured and unstructured data from multiple internal and external systems.

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Maintain data standards, definitions, ownership, validation procedures, business rules, quality controls, and documentation across Corporate Real Estate data sources.

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Monitor data quality, identify discrepancies and root causes, and coordinate remediation with internal teams and external service providers.

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Analyze occupancy cost, utilization, lease activity, facilities operations, capital projects, sustainability, workplace experience, employee work arrangements, and portfolio risk.

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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.

Business Intelligence, Reporting & Technology (25%)

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Build, manage, and continuously enhance centralized dashboards, scorecards, reporting tools, and analytical platforms for site-level and consolidated portfolio reporting.

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Translate business requirements into scalable data, reporting, visualization, and technology solutions using advanced Excel and business-intelligence tools.

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Automate recurring data collection, validation, analysis, and reporting to reduce manual effort and improve the speed, consistency, and reliability of insights.

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Support system integrations, data pipelines, interfaces, data warehousing, application programming interfaces, and connections between source systems and reporting platforms.

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Maintain recurring Real Estate & Facilities metrics, balanced scorecards, capital budgeting, fixed-asset reporting, and operational reporting as required.

Artificial Intelligence & Innovation (20%)

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Serve as a Corporate Real Estate resource for artificial intelligence, generative AI, intelligent automation, and emerging analytical technologies.

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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.

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Partner with Technology, Information Security, Legal, Risk, and Data Governance teams to support responsible and policy-compliant AI adoption.

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Develop user guidance, demonstrations, training materials, and adoption support while maintaining awareness of developments in AI, analytics, commercial real estate technology, and workplace intelligence.

Executive Reporting & Decision Support (20%)

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Convert complex data and analysis into clear, concise business recommendations, dashboards, scorecards, business cases, and executive presentations.

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Communicate portfolio performance, risks, trends, opportunities, business impact, and recomme