Senior Data Analyst
About The Position
The NYC Department of Finance (DOF) is responsible for administering the tax revenue laws of the city fairly, efficiently, and transparently. The Tax Policy & Data Analytics Division reviews, analyzes, and evaluates policies and legislation affecting the Department of Finance and New York City. This includes analyzing revenue and distributional impacts, monitoring tax and parking revenues, promoting improved tax administration, and advising on revenue and budgetary issues. The division also handles modeling and data mining for DOF’s Audit Division and prepares reports and analyses on tax policy. The Tax Policy’s Property Tax Analysis Unit is seeking two individuals with strong quantitative economic and fiscal research skills to assist with complex policy impact analysis, report production, internal system data quality control, and ad-hoc projects related to New York City properties and owners. The ideal candidates will leverage DOF data and research skills to identify specific populations for project goals, such as confirming owner compliance with property tax benefits or determining liability for certain charges. This involves creating datasets for official notices and tracking responses. Reporting to the Executive Director of Property Tax Research & Analytics, the selected candidates will perform a variety of duties.
Requirements
- 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.
- A baccalaureate degree from an accredited college or university as described above and two years of full-time, professional experience performing statistical analysis and programming work in any of the areas described above.
- 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 above, with at least 12 credits or three advanced courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography, or computer science (to be eligible for Assignment 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 (to be eligible for Assignment Level III).
Nice To Haves
- Strong quantitative economic and fiscal research skills.
- Ability to use data to identify specific populations to meet desired project goals.
- Experience creating datasets to populate official notices and tracking responses.
Responsibilities
- Help maintain the integrity of all property and owner-related data within the Department of Finance’s 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 Research’s main analytical database.
- Present research findings to Executive Director and Deputy Commissioner on a regular basis.
Benefits
- Remote work up to 2 days per week, pursuant to the Remote Work Pilot Program.
- Eligibility for Federal Tax Information (FTI) access after additional background investigation.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
