City of NY

DEPARTMENT OF FINANCE
Prop Tax Research/Analytics

New york, NY

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Job Specifications

Location

New york city, NY

Salary

$104,676.00 - $112,883.00 (Annual)

Published

16 hours ago

Career Level

Mid Level

Title Classification

Non-Competitive

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Senior 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.DOFs 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 DOFs 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 Policys Property Tax Analysis Unit seeks two (2) individuals with strong quantitative economic and fiscal research skills to assist its team with conducting complex policy impact analysis, as well as assisting with report production, internal system data quality control, and a variety of other ad-hoc projects related to New York City properties and owners. Additionally, the ideal candidates will use data available to the Department of Finance and research skills to identify specific populations to meet desired project goals. For example, to confirm an owners compliance with the rules of property tax benefits or to determine whether they are subject to certain charges. This will include but be not limited to creating datasets to populate official notices as well as tracking responses received.Reporting to the Executive Director of Property Tax Research & Analytics, the selected candidates duties and responsibilities will include, but are not limited to the following:- Help maintain the integrity of all property and owner-related data within the Department of Finances Property Tax System (PTS) by performing regular ad-hoc testing and reporting, followed by communicating results to the relevant internal Division. - Independently investigate previously unused database tables to identify new opportunities for property tax analysis and broaden the team's analytical capabilities.- Select, develop and apply appropriate statistical and research strategies for a variety of projects pertaining to the real property tax, including the development of sales-based market values for all property types in New York City.- Assist with the production of impact analysis of proposed changes to property tax laws, valuation methodologies, new benefit programs or modifications to existing ones.- Assist in the production of other ad-hoc analysis for senior management and other City Agencies.- Assist with infrastructure development for Property Tax Researchs main analytical database.- Present research findings to Executive Director and Deputy Commissioner on a regular basis.Additional Information: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.This position may be eligible for remote work up to 2 days per week, pursuant to the Remote Work Pilot Program agreed between the City and the Collective Bargaining Unit representing employees serving in the civil service title.This position will require employees to have access to Federal Tax Information (FTI) and is subject to an additional background investigation before appointment. The candidate(s) will be required to pass the FTI background investigation as a term and condition of employment.

Requirements

Level I1. A masters 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 II1. A masters 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 masters 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 III1. A masters 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. Experienced (non-manager)