Data Analytics Grad Intern

City of New YorkNew York City, NY
15h

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 Project & Quality Control Unit is seeking a Data Analytics Graduate Intern. Reporting to the Senior Director, duties and responsibilities include the following:

Requirements

  • Candidates must be currently enrolled in a graduate degree program in an accredited college, university or law school.
  • 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.

Responsibilities

  • Assist in building a dashboard based on deed fraud weekly and monthly report.
  • Assist with policy evaluation projects were appropriate.
  • Assist visualization of real property transfer tax and mortgage recording tax reports.
  • Assist with ad hoc research projects relating to property and owners, potentially involving collaboration with other teams wihin the Division.
  • Presenting research findings to the Senior Director on a regular basis and attending a variety of weekly meetings with management.
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