Senior Real Estate & Facilities Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Gather, cleanse, reconcile, validate, manipulate, and analyze both structured and unstructured data from various internal and external systems.

• Uphold data standards, definitions, ownership, validation processes, business rules, quality controls, and documentation across Corporate Real Estate data sources.

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

• Examine occupancy costs, utilization, lease activities, facilities operations, capital projects, sustainability, workplace experiences, employee work arrangements, and portfolio risks.

• Create KPIs, benchmarks, forecasts, trends, scenario models, and ad hoc analyses to support portfolio optimization, site consolidation, workplace strategy, lease decisions, and capital investments.

• Construct, manage, and improve centralized dashboards, scorecards, reporting tools, and analytical platforms for both site-level and consolidated portfolio reporting.

• Convert business requirements into scalable data, reporting, visualization, and technology solutions utilizing advanced Excel and business-intelligence tools.

• Automate routine data collection, validation, analysis, and reporting processes.

• Assist with system integrations, data pipelines, interfaces, data warehousing, APIs, and connections between source systems and reporting platforms.

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

• Act 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.

• Collaborate with Technology, Information Security, Legal, Risk, and Data Governance teams to facilitate responsible and policy-compliant AI adoption.

• Develop user guidance, demonstrations, training materials, and support for adoption.

• Transform complex data and analyses into business recommendations, dashboards, scorecards, business cases, and executive presentations.

• Convey portfolio performance, risks, trends, opportunities, business impacts, and recommended actions through data visualization and storytelling.

• Customize reporting for executive, operational, financial, and technical audiences and support annual planning, quarterly reviews, leadership meetings, and strategic initiatives.

• Collaborate with Real Estate, Facilities, Finance, Procurement, Human Resources, Technology, Risk, Sustainability, Security, and regional teams to outline business questions, reporting requirements, and priorities.

• Coordinate cross-functional analytics and technology initiatives, encompassing plans, milestones, dependencies, risks, deliverables, adoption, and performance measures.

• Foster relationships with service providers, technology vendors, consultants, and data partners; support continuous improvement and other leadership-directed analyses.

⛳️ Requirements

• Bachelor’s degree in data analytics, business analytics, information systems, computer science, finance, real estate, business administration, engineering, or a related field.

• At least five years of progressive experience in data analytics, business intelligence, data governance, technology, corporate real estate, finance, or a related discipline.

• Experience in developing complex analyses, dashboards, reports, data-quality processes, or technology-enabled solutions utilizing information from various systems.

• Advanced proficiency in Microsoft Excel, including complex formulas, PivotTables, Power Query, data modeling, scenario analysis, charts, and large-dataset manipulation.

• Experience creating dashboards and visualizations using Power BI, Tableau, or a similar business-intelligence platform.

• Familiarity with data governance, data quality, master data, business definitions, controls, validation, and ownership.

• Professional experience with artificial intelligence or generative AI tools, with an understanding of responsible-use considerations.

• Strong analytical, organizational, project-management, problem-solving, written, verbal, presentation, and executive-communication skills.

• Capability to translate technical or analytical findings into clear business recommendations, manage multiple priorities independently, and collaborate across functions and organizational levels.

• Employment contingent upon completion of a required identity verification process, which may include biometric technology where permitted by applicable law.

• Helpful: Master’s degree in a relevant field.

• Helpful: Experience supporting a geographically dispersed corporate real estate portfolio or working within a Fortune 500 company.

• Helpful: Knowledge of portfolio strategy, transactions, lease administration, occupancy planning, facilities management, capital projects, workplace experience, sustainability, financial modeling, forecasting, benchmarking, and scenario planning.

• Helpful: Experience with integrated workplace management systems, lease-administration platforms, facility-management systems, occupancy technologies, or corporate real estate databases.

• Helpful: Experience collaborating with outsourced service providers, technology vendors, consultants, and cross-functional global teams.

• Helpful: Working knowledge of SQL, Python, DAX, data warehouses, cloud platforms, application programming interfaces, or data-integration tools.

• Helpful: Experience with Microsoft Power Platform, including Power BI, Power Automate, Power Apps, or Copilot.

• Helpful: Experience implementing AI-enabled workflows, large language models, intelligent automation, or predictive analytics.

• Helpful: Intermediate or advanced Microsoft PowerPoint skills and strong data-visualization and storytelling capabilities.

• Helpful: Relevant certification in analytics, data governance, artificial intelligence, project management, Power BI, or commercial real estate.

🏝️ Benefits

• Salary growth within the position.

• Virtual interviews conducted via video.

• Identity verification process with notice and consent where applicable.

• Equal Employment Opportunity protections.