Senior Policy Advisor

Senior Policy Advisor Apply Senior Policy Advisor Agency: DEPARTMENT OF FINANCE Posted on: 01/05/2024 Job type: Full-time Location MANHATTAN Title Classification: No exam required Department Excise Tax Research Salary range: $90,076.
00 – $97,138.
00 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.
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.
Tax Policy, Excise Tax Research unit seeks an experienced individual with a strong background in quantitative economic research and project management to assume the role of Deputy Director Excise Tax Research Unit.
This role will enhance both revenue and budget monitoring.
The Deputy Director will supervise existing projects and create and direct new projects.
This additional monitoring and troubleshooting will reduce the time required to complete projects.
Duties will include, but are not limited to: - Responsible for supervising, drafting, and proofing Excise Tax Research project documentation.
- Supervise project creation and ensure analysts adhere to best practices.
- Act on behalf of the Excise Tax Research Director as needed.
- Perform technical review of analyst programs to streamline processes and increase efficiency.
- Prepare reports independently and manage ad-hoc queries, data, and reporting requests.
- Supervise and complete complex economic and statistical research.
- Design and direct geospatial analysis projects.
- Geocode data and produce thematic maps to improve revenue monitoring and visualization.
- Review Excise Tax Research reports.
- Create and supervise maintenance of revenue reports and data sets to be published on the DOF website increasing Tax Policy data transparency.
- Present research findings to agency officials, participate in expert panels, and confer with city officials on economic phenomena as needed.
- Develop and implement research strategies for various projects.
- Construct policy option simulations.
- Work closely with staff from Tax Policy and Data Analytics and other divisions to successfully implement and track results of large-scale analytical projects.
- Write computer programs to design, create, and maintain databases that will be used for revenue monitoring, policy analysis and audit selection.
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 - The ability to develop work plans, execute workloads, and present project results.
- The ability to supervise and review analysts' work.
- The ability to communicate complex research clearly and concisely.
- Strong programming, data analysis, statistical sampling, and data mining experience.
- Strong attention to detail and the ability to work independently.
- Advanced proficiency in MS office suite.
, including Excel pivot tables and VBA.
- Proficiency in SAS programming.
- Ability to multi-task – supervise research while working independently on his/her own work.
- Strong qualitative and quantitative analytic skills.
- Proficiency in data visualization.
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.
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 -\tThe ability to develop work plans, execute workloads, and present project results.
\n-\tThe ability to supervise and review analysts' work.
\n-\tThe ability to communicate complex research clearly and concisely.
\n-\tStrong programming, data analysis, statistical sampling, and data mining experience.
\n-\tStrong attention to detail and the ability to work independently.
\n-\tAdvanced proficiency in MS office suite.
, including Excel pivot tables and VBA.
\n-\tProficiency in SAS programming.
\n-\tAbility to multi-task – supervise research while working independently on his/her own work.
\n-\tStrong qualitative and quantitative analytic skills.
\n-\tProficiency in data visualization.
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.
Job ID 620947 Title code 13135 Civil service title BUSINESS RESEARCH & DATA ANALY Title classification Non-Competitive-5 Business title Senior Policy Advisor Posted until 2024-01-12 Experience level: Experienced (non-manager) Number of positions 1 Work location 59 Maiden Lane Category: Finance, Accounting, & Procurement