Deputy Director, Data Intelligence Group

Cityofnewyork; New York (NY); Hybrid; USD 90.000 - 120.000; Vollzeit

Zusammenfassung

NYC Department of Finance, Tax Policy & Data Analytics Division, is seeking a Deputy Director to oversee advanced data analytics, model development, and reporting for revenue and budget analyses. The role collaborates with senior Audit staff to ensure models meet requirements and provide insights for policy decisions.

The position includes preparing complex model reports, guiding data-driven projects, and supporting multiple tax programs while complying with federal information requirements.

Qualifikationen

• Master's degree in economics, finance, accounting, business or public administration and two years of experience in budget, accounting, economic or financial administration, or fiscal/economic research.
• Ability to analyze data, develop models, and communicate results to senior staff.
• Experience with tax or public finance data and auditing context is a plus.

Aufgaben

• Assist the Senior Director with supervision of a unit performing advanced data analytics and quality review.
• Develop and maintain SAS models and code to support tax policy and data analytics projects.
• Prepare model reports and findings for bi-weekly meetings and inform ongoing modeling efforts.
• Respond to ad hoc data requests with accurate, well-documented results.
• Oversee reviews of tax return adjustments and assist in quality assurance processes.

Kenntnisse

SAS

Data analytics

Model development

Supervisory experience

Communication with senior staff

Ausbildung

Master's degree in economics or related field

Tools

SAS macros

Jobbeschreibung

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 seeks a Deputy Director to serve in the Data Intelligence Group. Reporting to the Senior Director, the selected candidate's duties and responsibilities will include, but are not limited to the following:

• Assist the Senior Director in providing supervisory direction over a unit engaged in the performance of strong computer and analytics skills with the aim of identifying audit-worthy tax returns and data quality/integrity review.
• Assist the Senior Director with model development and with communication with senior Audit staff to ensure models are developed accurately and in accordance with Audit's requirements.
• Prepare and evaluate model reports for bi-weekly model meetings, research report issues/anomalies to advise adjustments or corrections, and track model results to inform ongoing modeling efforts.
• Respond to ad hoc and special project data requests by producing or overseeing the production of accurate, relevant, well-documented, and properly formatted research or analytic results and providing these to the requesting party.
• Supervise and participate in the ongoing review of tax return adjustments which trigger Quality Assurance and Egregious cases.
• Perform difficult and complex computer applications programming, using SAS, including macros (e.g., subroutines).
• Develop, update, and maintain standardized SAS code and associated datasets for preparing data for use in modeling, recalculation of tax, identification of non-filers, etc.
• Assist with the development and implementation of dozens of models for the corporation tax, the general corporation tax, the unincorporated business tax (proprietorships and partnerships), the commercial rent tax, the real property transfer tax, the hotel tax, and other special projects. This entails understanding complex tax laws and the myriad data sources available to identify taxpayers that may be underreporting, as well as businesses that are not fulfilling their filing requirements.

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.

ADMINISTRATIVE STAFF ANALYST ( - 1002D

1. A master's degree from an accredited college in economics, finance, accounting, business or public administration, public health, human resources management, management science, operations research, organizational behavior, industrial psychology, statistics, personnel administration, labor relations, psychology, sociology, human resources development, political science, urban studies or a Juris Doctor degree from an accredited law school, and two years of satisfactory full-time professional experience in one or a combination of the following: working with the budget of a large public or private concern in budget administration, accounting, economic or financial administration, or fiscal or economic research; or in management or methods analysis, operations research, organisat