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GIS Data Specialist - New York, United States - City of New York
Description
Job Description
The Parking Planning and Policy Unit within Parking Operations, Planning and Analysis seeks a data-oriented professional who has good familiarity with ArcGIS to help support decision-making related to curb management in New York City.
The candidate will be expected to perform research and analysis studies, conduct data mining exercises, create, and maintain vital databases and contribute to ongoing data analysis efforts underway within the Department of Transportation.
Duties will include:
Update and maintain division GIS datasets and web maps using ArcGIS.
Perform analyses related to operational and financial metrics (e.g. metered space revenue and geographical distribution).
Facilitate cross-division and cross-Agency GIS data processes.
Improve upon current data operations to ensure best practices are followed and inefficiencies are addressed where possible.
Build out divisional tools to support current databases, operations, workflows, and staff.
Managing data collection materials and tools related to division's timelapse camera data collection efforts.
The candidate will have the opportunity to develop methods and build on her/his current technical knowledge base to solve division-related problems.
The candidate will be asked to work collaboratively and inclusively, seeking to cultivate continued professional development and effectively communicate with all stakeholders.
This includes having proficiency with data visualization techniques, as well as experience in processing, cleaning, manipulating, and analyzing large datasets.
Preference will be given to the candidate with experience in similar governmental or transportation-based settings that are valuable, as well as existing knowledge of NYC policies, programming, and data sources.
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.
Please go to and search for Job ID #:631948
Current employees please log on into Employee Self Service at and follow the Careers Link and search for Job ID #: 631948
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:
Work Location: 34-02 Queens Boulevard LIC NY 11101
Hours/Shift: 35 Hrs./M-F/Shift TBD
Qualifications
A baccalaureate degree from an accredited college in computer science, engineering, human computer interaction, interactive media, digital and graphics design, data visualization, communication or a related field, and four years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or
An associate degree from an accredited college in computer science, engineering, human computer interaction, interactive media, digital and graphics design, data visualization, communication or a related field, and six years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or
A baccalaureate degree from an accredited college, and eight years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or
Education and/or experience which is equivalent to "1", "2", or "3" above.
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.