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 Tax Policy & Data Analytics Division reviews, analyzes, and evaluates existing and proposed policies and legislation that affect the Department of Finance and New York City in general. This includes analyzing the revenue and distributional impacts of proposed changes to the tax system, monitoring and reporting on tax and parking revenues, working with local and state public agencies and private sector interests to promote improved tax administration, and advising the commissioner, Executive Office, and the New York City Office of Management and Budget on revenue and budgetary issues. The Tax Policy and Data Analytics Division is also responsible for all modeling and data mining for DOF’s Audit Division. Tax Policy also prepares briefing and position papers on tax policy and issues a variety of public reports and newsletters on tax-related issues.
Responsibilities Include, But Are Not Limited To, The Following
- Assist in the review of the FY2026 Final Property Assessment Roll. Tasks will include reconciling data sources, isolating and investigating outliers and completing analytical reports.
- Assist with policy evaluation projects were appropriate.
- Assist with the construction of regression models used to estimate market values for residential properties.
- Assist with the construction of analytical tables for Tax Policy's Annual Property Tax Report and Annual Report on Tax Expenditures.
- Assist with ad hoc research projects.
- Presenting research findings to the Senior Director and Assistant Commissioner on a regular basis, and attend a variety of weekly meeting with management.
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, 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.
The student will be asked to sign a Tax Secrecy agreement and should understand the rules that prevent nondisclosure of Department of Finance information.
Minimum Qualifications
Candidates must be currently enrolled in a graduate degree program in an accredited college, university or law school.
Preferred Skills
- Proficient in SAS or other statistical software such as Python. Work duties will be conducted in SAS and Excel. - Experience with large datasets and regression analysis is a plus. - The selected candidate should communicate well and be able present his or her work and results fully and professionally.
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, sexual orientation, veteran status, gender identity, or pregnancy.
