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.

The 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 division's Data Analytics and Program Evaluation (DAPE) team is seeking an individual with strong analytical skills to serve as the Director of DAPE. The 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 a 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 current and evolving business needs; to provide data analysis to help establish the compliance mechanism; and to provide policy analysis and recommendations from operational perspectives.

The ideal candidate would possess leadership and strong analytical skills, solid computer programming skills, enjoys working with data, is keen on analyzing complex systems/issues and providing creative solutions, and is a self-starter with a detail-oriented approach.

The selected candidate will supervise and be able to perform long-term research, investigations, data analysis, and evaluation of program operations. The candidate will identify specific problems and patterns of noncompliance as well as underutilization and provide recommendations for improvement.

Reporting to the Senior Director of DAPE, responsibilities will include, but are not limited to the following:

- Conduct extensive analyses of property exemption-related data, such as 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 and efficacies.
- Contribute to research reports published by DOF.
- Provide business analysis to identify areas of improvement 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 programming in SAS or another 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 analysis to senior staff in the Property Division, as well as to senior management in DOF.
- Prepare procedure manuals, reports, and documentation.
- Perform quality assurance reviews to ensure work is accurate, defensible, and of high quality. Identify and resolve issues.
- Support the Unit's Senior Director in setting standards and ensuring the accuracy and reliability of the analysis the Unit provides.
- Supervise exemption analysts for various tasks and projects. Review programming codes and results provided by analysts and provide guidance.
- Represent the Unit in the Senior Director's absence.
- Support the Unit's staff development and long-term planning efforts.

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.

- Minimum of 5 - 7 years of responsible full-time research experience in an appropriate field of physical, biological, environmental, or social science. - Manager and/or supervisory experience a plus - Proficiency using SAS or another programming language (e.g., R, Stata, SPSS) experience with open-source tools for enhancing analytical capabilities. - Exceptional analytical and quantitative 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. - Willingness to learn new software independently. - Ability to follow instructions and interact with people at all levels. Must be able to work well in a team environment and work individually with minimal supervision. - Ability to solve problems creatively. - Outstanding written and spoken communication skills. Ability to communicate clearly and effectively and present materials concisely. - 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 and exemption programs and related business rules. - Professionalism, integrity, and a positive work ethic.

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/.

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.

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, sexual orientation, veteran status, gender identity, or pregnancy.