Job Description
Full job description
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
Save
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 complex systems/issues, and providing creative solutions. Reporting to the Assistant Commissioner of PEA, the selected candidate’s duties will include, but are not limited to the following:
Conduct extensive analyses of property exemption related data, such as data on property valuation, tax exemptions and abatements, income tax, real property transfer tax, Social Security Administration deaths, and Census data.
Perform statistical data analysis to evaluate program operations and their efficiencies as well as efficacies.
Contribute towards research reports published by DOF.
Provide business analysis to identify the areas of improvement to be made and offer a set of recommendations.
Aid the compliance effort to validate exemption recipients' qualifications.
Provide periodic and ad hoc reporting. Develop clear and concise reports and measurements.
Provide SAS programming or other programming language, to develop analytic datasets, using extremely large datasets. Data preparation steps include cleaning and testing the data, creatively solving problems, and manipulating and restructuring the data.
Present data analysis to senior staff in Property, and other divisions within DOF.
Prepare procedure manuals, reports and documentation.
May supervise subordinate staff conduct research/analysis on specific problems in program operations.
Additional Information:
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.
This position may be eligible for remote work up to 2 days per week, pursuant to the Remote Work Pilot Program agreed between the City and the Collective Bargaining Unit representing employees serving in the civil service title.
BUSINESS RESEARCH & DATA ANALY - 13135
Minimum Qualifications
Level I
1. A master’s degree from an accredited college or university in social science, economics, statistics, computer science, data analysis, geography, sciences, technology, engineering, mathematics (STEM), or a closely related field, with at least 12 credits or five courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography or computer science.
2. A baccalaureate degree from an accredited college or university as described in “1” above and two years of full-time, professional experience performing statistical analysis and programming work in any of the areas described in “1” above.
Level II
1. A master’s degree from an accredited college or university in social science, economics, statistics, computer science, data analysis, geography, sciences, technology, engineering, mathematics (STEM), or a closely related field, with at least 12 credits or five courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography or computer science.
2. A baccalaureate degree from an accredited college or university as described in “1” above and two years of full-time, professional experience performing statistical analysis and programming work in any of the areas described in “1” above.
Special Note:
To be eligible for placement in Assignment Level II, individuals must have, in addition to meeting the minimum requirements, at least one year full-time work experience in a related field, or a master’s degree from an accredited college or university, in the areas described in “1” above, with at least 12 credits or three advanced courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography, or computer science."
Level III
1. A master’s degree from an accredited college or university in social science, economics, statistics, computer science, data analysis, geography, sciences, technology, engineering, mathematics (STEM), or a closely related field, with at least 12 credits or five courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography or computer science.
2. A baccalaureate degree from an accredited college or university as described in “1” above and two years of full-time, professional experience performing statistical analysis and programming work in any of the areas described in “1” above.
Special Note:
To be eligible for placement in Assignment Level III, individuals must have, in addition to meeting the minimum requirements of Level II, at least three years full-time work experience in a related field, or a Doctorate degree from an accredited college or university, in the areas described above, with at least 12 credits or three advanced courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography or computer science.
Preferred Skills
- Research experience in an appropriate field. - Proficiency using SAS or other programming languages (R, Python, SPSS or others). - Exceptional analytical and quantitative skills. - Strong analytical skills as well as solid computer programming skills. - Experience using relational databases, data mining and extracting data using SQL. - Experience with statistical sampling, econometric data modeling techniques and regression analyses. - Experience using ArcGIS or other geographic information systems software. - Proficiency in MS Word, Excel, Access, and PowerPoint. - Willingness to learn new software on their own. - Ability to follow instructions and interact with people at all levels. Must be able to work well in a team environment as well as work individually with minimal supervision. - Ability to solve problems creatively. - Outstanding written and spoken communication skills Can communicate clearly and effectively and present the materials in concise manners. - Must be able to prioritize tasks and meet deadlines without compromising the integrity of the work/products. - Ability to learn the complex property tax system, exemption programs, and related business rules. - Professionalism, integrity and positive work ethics. - Self-starter and detail oriented.
Public Service Loan Forgiveness
As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education’s website at https://studentaid.gov/pslf/.
Residency Requirement
New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.
Additional Information
The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, ****** orientation, veteran status, gender identity, or pregnancy.
Save
Job ID
774758
Posted until
04/10/2026
Title code
13135
Civil service title
BUSINESS RESEARCH & DATA ANALY
Title classification
Non-Competitive-5
Business title
Exemptions Data Analyst
Experience Level:
Experienced (Non-Manager)
Job level
02
Number of positions
1
Work location
59 Maiden Lane
Category:
Communications & Intergovernmental Affairs
Exemptions Data Analyst
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
Save
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 complex systems/issues, and providing creative solutions. Reporting to the Assistant Commissioner of PEA, the selected candidate’s duties will include, but are not limited to the following:
Conduct extensive analyses of property exemption related data, such as data on property valuation, tax exemptions and abatements, income tax, real property transfer tax, Social Security Administration deaths, and Census data.
Perform statistical data analysis to evaluate program operations and their efficiencies as well as efficacies.
Contribute towards research reports published by DOF.
Provide business analysis to identify the areas of improvement to be made and offer a set of recommendations.
Aid the compliance effort to validate exemption recipients' qualifications.
Provide periodic and ad hoc reporting. Develop clear and concise reports and measurements.
Provide SAS programming or other programming language, to develop analytic datasets, using extremely large datasets. Data preparation steps include cleaning and testing the data, creatively solving problems, and manipulating and restructuring the data.
Present data analysis to senior staff in Property, and other divisions within DOF.
Prepare procedure manuals, reports and documentation.
May supervise subordinate staff conduct research/analysis on specific problems in program operations.
Additional Information:
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.
This position may be eligible for remote work up to 2 days per week, pursuant to the Remote Work Pilot Program agreed between the City and the Collective Bargaining Unit representing employees serving in the civil service title.
BUSINESS RESEARCH & DATA ANALY - 13135
Minimum Qualifications
Level I
1. A master’s degree from an accredited college or university in social science, economics, statistics, computer science, data analysis, geography, sciences, technology, engineering, mathematics (STEM), or a closely related field, with at least 12 credits or five courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography or computer science.
2. A baccalaureate degree from an accredited college or university as described in “1” above and two years of full-time, professional experience performing statistical analysis and programming work in any of the areas described in “1” above.
Level II
1. A master’s degree from an accredited college or university in social science, economics, statistics, computer science, data analysis, geography, sciences, technology, engineering, mathematics (STEM), or a closely related field, with at least 12 credits or five courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography or computer science.
2. A baccalaureate degree from an accredited college or university as described in “1” above and two years of full-time, professional experience performing statistical analysis and programming work in any of the areas described in “1” above.
Special Note:
To be eligible for placement in Assignment Level II, individuals must have, in addition to meeting the minimum requirements, at least one year full-time work experience in a related field, or a master’s degree from an accredited college or university, in the areas described in “1” above, with at least 12 credits or three advanced courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography, or computer science."
Level III
1. A master’s degree from an accredited college or university in social science, economics, statistics, computer science, data analysis, geography, sciences, technology, engineering, mathematics (STEM), or a closely related field, with at least 12 credits or five courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography or computer science.
2. A baccalaureate degree from an accredited college or university as described in “1” above and two years of full-time, professional experience performing statistical analysis and programming work in any of the areas described in “1” above.
Special Note:
To be eligible for placement in Assignment Level III, individuals must have, in addition to meeting the minimum requirements of Level II, at least three years full-time work experience in a related field, or a Doctorate degree from an accredited college or university, in the areas described above, with at least 12 credits or three advanced courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography or computer science.
Preferred Skills
- Research experience in an appropriate field. - Proficiency using SAS or other programming languages (R, Python, SPSS or others). - Exceptional analytical and quantitative skills. - Strong analytical skills as well as solid computer programming skills. - Experience using relational databases, data mining and extracting data using SQL. - Experience with statistical sampling, econometric data modeling techniques and regression analyses. - Experience using ArcGIS or other geographic information systems software. - Proficiency in MS Word, Excel, Access, and PowerPoint. - Willingness to learn new software on their own. - Ability to follow instructions and interact with people at all levels. Must be able to work well in a team environment as well as work individually with minimal supervision. - Ability to solve problems creatively. - Outstanding written and spoken communication skills Can communicate clearly and effectively and present the materials in concise manners. - Must be able to prioritize tasks and meet deadlines without compromising the integrity of the work/products. - Ability to learn the complex property tax system, exemption programs, and related business rules. - Professionalism, integrity and positive work ethics. - Self-starter and detail oriented.
Public Service Loan Forgiveness
As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education’s website at https://studentaid.gov/pslf/.
Residency Requirement
New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.
Additional Information
The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, ****** orientation, veteran status, gender identity, or pregnancy.
Save
Job ID
774758
Posted until
04/10/2026
Title code
13135
Civil service title
BUSINESS RESEARCH & DATA ANALY
Title classification
Non-Competitive-5
Business title
Exemptions Data Analyst
Experience Level:
Experienced (Non-Manager)
Job level
02
Number of positions
1
Work location
59 Maiden Lane
Category:
Communications & Intergovernmental Affairs
Exemptions Data Analyst
💡 Quick Summary
Seeking a career-building opportunity? The Exemptions Data Analyst position is now open for candidates interested in the Real Estate sector. This role in New York City offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Real Estate is a plus.
