Exemptions Data Analyst
Company: Department of Finance
Location: Manhattan, NY 10038 (Remote)
Salary: $104,676 - $112,883 a year
Type: Full-time
Remote: Yes
Posted: 2026-03-27
About this role
# Exemptions Data Analyst
- DEPARTMENT OF FINANCE
Posted On: 03/27/2026
- Full-Time
Location
MANHATTAN
- No Exam Required
Department
Data Analytics & Program Eval
Salary Range:
$104,676.00 – $112,883.00
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## Job Description
NYC Department of Finance (DOF) is responsible for administering the tax revenue laws of the city fairly, efficiently, and transparently to instill public confidence and encourage compliance while providing exceptional customer service.
DOF’s Property Exemptions Administration (PEA) oversees and executes property tax benefits for a diverse array of entities and individuals. PEA’s core responsibilities encompass the examination, processing, and management of applications for exemptions and abatements. These benefits extend to commercial and industrial properties, residential multi-family construction, new one- to two-family construction, government entities, and non-profits, as well as renters and homeowners, including members of the clergy, seniors, people with disabilities, and veterans. PEA is committed to ensuring the accessibility of property tax benefits for all eligible constituents.
PEA’s Data Analytics and Program Evaluation (DAPE) unit is responsible for integrating data analysis into the business operation of the division. The main goals of the unit are to establish an environment where efficient data analysis is performed on the modern platform, to develop and standardize statistical analysis and periodic reporting, to support the division-wide effort to evaluate and enhance program operations based on the current and evolving business needs, to provide data analysis to help establish the compliance mechanism. The unit is also responsible for providing policy analysis and recommendations from operational perspectives.
DAPE is seeking one individual with strong analytical skills to serve as the Exemption Data Analyst. The ideal candidate will enjoy working with data, is keen on analyzing compl...