Real Estate Data Analyst

Data Governance - Collection, Cleanliness, & Validation Own and run the data validation framework across GWS real estate data: attendance & headcount data and forecasts; audit, map, and clean up portfolio, projects, buildings, lease, and space records across source systems, and reconcile discrepancies to a single source of truth. Maintain business reference values and mappings for Finance (cost centers, internal orders, and plant codes) and the business (taxonomy, approvals, and status values), and support building-to-plant-code cleanup and SAP alignment. Own the recurring audit, mapping, and cleanup cycles; apply and refine validation logic; and identify, flag, and correct errors while reducing duplicate data entry. Maintain consistent metric definitions, data dictionaries, and reference materials, and support adherence to data governance, reporting standards, and compliance. Track and report data-quality measures such as error rates, correction cycle times, and completeness so data health is visible to stakeholders. Supporting Analytics & Reporting Contribute data, visuals, and analysis to Portfolio Insights sessions and business reviews such as QBRs. Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience. Experience with data quality, data validation, data governance, or master-data management, including auditing, mapping, and cleanup of business data. Working knowledge of SQL and/or Python or R for data extraction, cleanup, and analysis. Familiarity with corporate real estate and workplace data (attendance, occupancy, utilization, space, lease, and projects data) and with CAFM/IWMS, space-management, or ERP systems such as SAP. Experience building and maintaining dashboards and recurring reporting cadences in Power BI, or comparable platforms such as Tableau or Looker. Attention to detail and the ability to translate data into clear, decision-ready insights; demonstrated interest in the corporate real estate industry. Bachelor's Degree in Business Analytics, Data Science, Statistics, Finance, Real Estate, Information Systems, Business Management, or related field AND 1+ year(s) of experience in data analytics, data management, business intelligence, reporting, or real estate, portfolio, or workplace-occupancy analysis, OR 2+ years of equivalent experience. Data Quality & Governance | Detail Oriented | ---|---|--- Data Visualization & Business Intelligence | Business Technology Optimization | Operational Excellence Problem Solving | Data Management | Financial Analysis Change Management | Written Communication | Oral Communication Forecasting |