CRE Accounting Analyst - AI Evaluation Team
R
REAL DEV INCReal Estate
Workable workplace: remote Workable locations: Boston, Massachusetts, United StatesFull-TimeJunior
Salary not disclosed
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Job Details
- Languages
- Native-level English
- Experience
- 2-4 years of experience
- Required Skills
- Data AnalysisMicrosoft ExcelGoogle Sheets
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
- Native-level English; 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
Responsibilities
- 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
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