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