SPECIAL NOTE: CANDIDATES WITH A PERMANENT ADMINISTRATIVE STAFF ANALYST OR COMPARABLE CIVIL SERVICE TITLE WITH SIMILAR DUTIES/RESPONSIBILITES ARE ENCOURAGED TO APPLY. PLEASE INCLUDE YOUR EMPLOYEE IDENTIFICATION NUMBER (EIN) WHEN APPLYING AND INDICATE IN YOUR COVER LETTER YOUR PERMANENT CIVIL SERVICE TITLE.

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 Treasury and Payment Services Division is responsible for overseeing all City payment websites, the payment processing of tax returns, property recording forms, parking violation programs, and the collection of delinquent accounts, and oversees the agency’s management of the City’s cash balances and its relationships with banking institutions. Treasury and Payment Services is also responsible for collecting outstanding violations issued by City agencies and adjudicated by the Environmental Control Board.

Payments, Billing, and Refunds is responsible for processing payments for property taxes and property-related charges, business and excise taxes, and parking and camera violations. The division is responsible for communicating amounts due, maintaining the quality of departmental records, and providing customer service to individuals seeking information on making payments or receiving refunds. Payments, Billing, and Refunds performs account adjustments and responds to refund inquiries from the public.

The Treasury division is seeking a Data Analyst for the Parking Operations & Planning unit. The selected candidate will be responsible for, but not limited to,

- Use database tools and spreadsheets to analyze data for the purpose of identifying patterns and supporting DOF analytics and reporting needs.
- Monitor integrity of data maintained in City's parking ticket database, STARS, and ensuring system meets ability to robustly sustain core business requirements.
- Evaluate data pertaining to parking tickets and performing data analyses, where necessary, to improve the efficiency of operations.
- Develop GIS and geospatial visualizations to enhance interpretations and understating of findings.
- Perform ad hoc database queries and analyze Parking and ECB judgment debt.
- Conduct in-depth data analysis to identify trends and provide solutions to issues related to parking administration and collection tickets as well as other Parking Operations issues.

1. A master's degree from an accredited college in economics, finance, accounting, business or public administration, 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 closely related field, 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; in management or methods analysis, operations research, organizational research or program evaluation; in personnel or public administration, recruitment, position classification, personnel relations, employee benefits, staff development, employment program planning/administration, labor market research, economic planning, social services program planning/evaluation, or fiscal management; or in a related area. 18 months of this experience must have been in an executive, managerial, administrative or supervisory capacity. Supervision must have included supervising staff performing professional work in the areas described above; or
2. A baccalaureate degree from an accredited college and four years of professional experience in the areas described in "1" above, including the 18 months of executive, managerial, administrative or supervisory experience, as described in "1" above.

- Superior analytical and organizational skills. - Strong written, verbal, and interpersonal communication skills. - Extensive knowledge of applied statistics, analytics, machine learning, data science or big data tools (Microsoft SQL and SAS). - Interest in taking initiative and helping the team discover problems and troubleshoot solutions. - Ability to think creatively, embrace new approaches and pioneer innovative solutions to intricate problems. - Ability to write reports and perform analysis. - Experience working on multiple tasks and assignments while maintaining attention to detail, and the ability to be flexible with changing demands, - -Extensive knowledge of Outlook, and Microsoft Office Suite. - -Experience with Project Management.

This position is also open to qualified persons with a disability who are eligible for the 55-a Program. Please indicate at the top of your resume and cover letter that you would like to be considered for the position through the 55-a Program.

As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education’s website at https://studentaid.gov/pslf/.

New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.

The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.