Senior Data Analyst

City of New York•New York City, NY

7d•Hybrid

About The Position

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 Long-Term Projects and Quality Control unit seeks a Senior Data Analyst with strong quantitative and qualitative research skills to assist in performing long term data-driven research projects using SAS to analyze various taxes, audit, and other data.

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 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.
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."
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.

Responsibilities

Utilizing SAS to analyze real property transfer data and produce tables for monthly report and the publication of the statistical profile of real property transfer tax
Assist with economic and statistical research (including migration and gig economy) and in the preparation of reports and ad-hoc queries or data requests using SAS, excel or other appropriate software and tools.
Analyze compliance issues based on datasets from Property, Exemption and Personal Income Tax.
Utilize ArcGIS to create maps to meet business requirements for the unit and the Division.
Design and develop data models to support efficient data retrieval and analysis in Power BI.
Lead the creation of interactive and visually compelling Power BI reports and dashboards to meet business requirements for the unit and the Division.
Mine large and complex datasets and perform data quality checks.
Prepare presentation and present findings to senior management.

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