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.

Division Description:
Property Exemptions Administration
The Property Exemptions Administration reviews, processes, and manages the applications for all exemptions and abatements awarded to commercial and industrial properties, residential multi-family construction, new one- to two-family construction, government entities and non-profits, homeowners, and senior and disabled renters.

Job Description:
The Property Exemptions Administration (PEA) division's Data Analytics and Program Evaluation (DAPE) team is seeking one individual with strong analytical skills to serve as the Exemption Data Analyst. 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 the 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; and to provide policy analysis and recommendations from operational perspectives.

The ideal candidate would possess strong analytical skills as well as solid computer programming skills; enjoys working with data; is keen on analyzing complex systems/issues and providing creative solutions; and are self-starters and detail oriented.

The selected candidate will 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 Director of DAPE, responsibilities 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, and 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 another programming language to develop analytic datasets, using extremely large datasets. Data preparation steps include cleaning and testing the data,

creatively solving problems, and to manipulating and restructuring the data.

• Present the analysis to senior staff in Property Division, as well as to senior management in DOF.
• Prepare procedure manuals, reports and documentation.
• May supervise subordinate staff conducting research/analysis on specific problems in program operations.

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.

• Research experience in an appropriate field
• Proficiency using SAS or another programming language (Stata, R, SPSS or others)
• 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
• 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. Be able to 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 and exemption programs and related business rules
• Professionalism, integrity and positive work ethic

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.

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.

As a current or prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. Please review the notice to see if you may be eligible for programs and how to apply at nyc.gov/studentloans.

As of August 2, 2021, all new hires must be vaccinated against the COVID-19 virus, unless they have been granted a reasonable accommodation for religion or disability. If you are offered city employment, this requirement must be met by your date of hire, unless a reasonable accommodation for exemption is received and approved by the hiring agency.

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While we appreciate every applicant's interest, only those under consideration will be contacted.

Unless otherwise indicated, all positions require a five-day workweek.

59 Maiden Lane, New York, NY 10038
(Current location but could be subject to change)

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.