Role Description
As a CRE Accounting Analyst at the AI Evaluation Team at REAL, you will work hands-on with real estate, lease, and financial data, turning complex source materials into structured, high-quality inputs that power our platform. This is a highly operational role with a strong analytical component.
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Review and process real estate, lease, and financial documents on a daily basis
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Extract key data points from leases, rent rolls, financial statements, budgets, CAM reconciliations, and property reports into structured systems
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Work with U.S. commercial real estate, accounting, lease, and property-finance terminology
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Clean, organize, and validate large volumes of financial and property-level data
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Identify inconsistencies, missing information, anomalies, and reconciliation gaps, and help resolve them
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Analyze lease and accounting-related inputs to support accurate data structuring and evaluation
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Work closely with internal teams to ensure data is accurate, consistent, and aligned with product needs
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Support onboarding of new customer financial and property data into the system
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Maintain high data quality and accuracy standards
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Improve internal workflows and data handling processes over time
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Gradually build deeper domain expertise in real estate, accounting, financial data, and customer use cases
Qualifications
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2-4 years of experience in real estate accounting, property accounting, lease accounting, fund accounting, real estate finance, asset management, property management, or CRE operations
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Experience working with leases, rent rolls, financial statements, budgets, recoveries, CAM reconciliations, operating statements, or other property-level financial data
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Experience in accounting, property accounting, lease accounting, real estate finance, asset management, or CRE operations roles involving lease and/or property-level financial data β strong advantage
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Native-level English β must; ability to read, write, and understand professional documents, contracts, reports, and financial materials in English
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Strong attention to detail and ability to work with high accuracy
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Comfortable working with data; Excel / Google Sheets required
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Analytical mindset and ability to identify issues, gaps, inconsistencies, and reconciliation problems in data
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Ability to work independently and handle operational tasks at scale
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Strong sense of ownership and responsibility
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Technical curiosity and willingness to work with data systems and AI-driven workflows
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Good communication skills and ability to collaborate with different teams