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 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 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.
DOF seeks an individual with strong quantitative and qualitative research skills to serve as Data Analyst/Modeler in the Tax Policy and Data Analytics Division's Data Intelligence Group (DIG). The selected candidate will assist with the development of computer programs and data models, using SAS, for the purposes of audit-candidate selection, model and audit result tracking, and related research.
Duties will include, but are not limited to:
- Write code for and support the development of enhanced matching programs using a variety of data sources in order to identify non-filers and under-reporters as candidates for audit.
- Provide technical computer programming and data analysis support to the agency's modeling and computer assisted audit functions.
- Use SAS to merge and manipulate large datasets and critically analyze statistical findings.
- Liaise with staff from Tax Policy and other divisions to successfully implement and track results.
- Conduct analysis on the expected impact of proposed changes to tax law.
- Use taxpayer transactional data in various formats to construct statistical samples for audit purposes.
- Manage responses to ad-hoc data and reporting requests.