Data Analyst
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 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. Tax Policy's Excise Tax Research unit seeks a Data Analyst, who will report to the Director of Excise Tax Research, to assist in performing long term and cyclical data analysis. The Data Analyst will also perform research on excise taxes and business income taxes using micro tax related data. Duties and responsibilities will include, but are not limited to the following:
- Assist and produce both cyclical and ad-hoc reports.
- Perform economic and statistical research.
- Assist with producing the annual New York City charter-mandated tax expenditure report.
- Develop and run simulation models to identify the revenue impact of proposed changes in tax law.
- Conduct exploratory data analysis to develop analytic datasets by cleaning, testing, manipulating, and restructuring tax data.
- Perform metadata-related work such as providing data documentation support, defining transformation rules for data processing, naming database fields, and testing data dictionary quality.
- Communicate research findings with clarity to a range of stakeholders, including non-technical staff.
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
- Proficiency in SAS programming or another language such as R, STATA, or Python.
- Exceptional analytical and quantitative skills.
- Experience with analyzing large and complex datasets.
- Strong attention to detail.
- Excellent written and verbal communication skills, with ability to explain complex technical materials to non-technical staff.
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 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.