Senior Real Estate & Facilities Data Analyst

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

📋 Description

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

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

• Oversee data quality, detect discrepancies and their root causes, and facilitate remediation efforts with internal teams and external service providers.

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

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

• Develop, manage, and improve centralized dashboards, scorecards, reporting tools, and analytical platforms for 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 tasks.

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

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

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

• Identify, prioritize, test, and implement viable 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.

• Communicate portfolio performance, risks, trends, opportunities, business impact, and suggested actions through data visualization and storytelling.

• Customize reporting for executive, operational, financial, and technical audiences while supporting 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 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 relationships with service providers, technology vendors, consultants, and data partners; promote continuous improvement and additional analyses as 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.

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

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

• Experience in 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 in utilizing artificial intelligence or generative AI tools, along with an understanding of responsible-use considerations.

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

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

• A Master’s degree in a relevant field is advantageous.

• Experience in supporting a geographically dispersed corporate real estate portfolio or working within a Fortune 500 company is beneficial.

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

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

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

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

• Experience with Microsoft Power Platform, including Power BI, Power Automate, Power Apps, or Copilot is beneficial.

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

• Intermediate or advanced Microsoft PowerPoint skills and strong data-visualization and storytelling capabilities are beneficial.

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

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

🏝️ Benefits

• Opportunities for salary advancement within the role.

• Access to U.S. benefits information.

• Virtual interviews conducted via video.

• Required identity verification process, which may include biometric technology where permitted by law.