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Revenue Strategist

New York City Department of Transportation
$87,743.00 - $110,120.00
remote work
United States, New York, Queens
Sep 27, 2025

The Parking Operations Planning and Analysis (POPA) division of DOT's Traffic Operations handles all parking tasks related to the city's 14,000 meters, mobile parking payment app, eight (8) garages, and off-street parking permits. The Finance Unit monitors, analyzes, reconciles, adjusts, and reports on all the revenue received from all the different sources and payment types, which bring in annually over $270 million dollars in revenue.

The Finance group of Parking Operations seeks to hire one (1) City Research Scientist L2 to work in Finance's Revenue Strategy and Analysis unit as a Revenue Strategist. The selected candidate will be utilizing the internal business intelligence database to properly analyze revenue data on all revenue sources, evaluate revenue projections and provide detailed insight for the decision-making related to the Division's initiatives. The City Research Scientist will be required to work with very large data files, manipulate large amounts of data, create logic algorithms, conduct research/investigation/troubleshooting of the data, evaluate methods, procedures and data obtained from multiple sources. The selected candidate will become a subject-matter expert tasked with finding the most efficient and expedient mode of handling each assignment and assisting the Deputy Director in coordinating data quality management efforts with internal and external stakeholders. The unit handles both routine reports and special assignments with pressing priorities. All work must be accurate, and complete, and must properly address the needs of the assignment.

The candidate chosen for the position must be able to handle data related to parking activities in all boroughs of New York City. Specific duties will include, but will not be limited to the tasks and responsibilities shown below:
-Creates logic for data analytical exercises, build templates and algorithms for data processing and clean-up.
-Analyzes and troubleshoots large datasets, identifying all data quality issues and recommend resolutions.
-Builds internal data repository with clean and error-free data.
-Monitors and analyses the performance of all citywide meters and zones to identify variances and trends.
-Prepares comprehensive visualization reports and presentations as needed.
-Completes special projects, develops spreadsheets, and handles ad-hoc requests as needed.
-Assists in tracking and coordinating data quality management efforts with internal and external stakeholders.

"This position may be eligible for remote work up to 2 days per week, pursuant to the Remote Work Pilot Program agreed to between the City and DC37."

Work Location: 34-02 Queens Blvd. LIC, NY 11101

Hours/Shift: 35 Hrs./Monday - Friday/Shift TBD

All resumes are to be submitted electronically using one of the following methods:
Please go to www.nyc.gov/careers/search and search for the JOB ID #: 739128
Current employees please log on into Employee Self Service at https://hrb.nycaps.nycnet and follow the Careers Link and search for JOB ID #:739128
No phone calls, faxes or personal inquiries permitted.
Only applicants under consideration will be contacted.
Most public libraries have computers available for use.
Note: New hires must reside in NYC for the first two years of employment. Appointments are subject to OMB approval.
For more information about DOT, visit us at: www.nyc.gov/dot.

CITY RESEARCH SCIENTIST - 21744

Minimum Qualifications

1. For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health.
To be appointed to Assignment Level II and above, candidates must have:
1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or
2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or
3. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above.

NOTE:
Probationary Period
Appointments to this position are subject to a minimum probationary period of one year.

Preferred Skills

The preferred candidate will have excellent data management, analytical, financial, statistical, and computer skills very strong written and verbal communication skills able to work cooperatively in a team environment be very organized and detail oriented.
Public Service Loan Forgiveness

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/.
Residency Requirement

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.
Additional Information

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.

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