Senior Real Estate & Facilities Data Analyst

Role Overview

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.

What You Will Do

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

Why It Might Be a Fit

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.

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.
• 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.

Benefits

• Dental insurance
• Vision insurance
• Other benefits not explicitly mentioned

Tagged as: Data Analysis