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A leading career site is seeking a Data Analyst for the City of New York. The successful candidate will analyze internal data, create performance metrics, and develop visual tools to support housing development projects. Ideal candidates will possess strong data management skills and relevant degrees, while being proactive and highly organized.
3 days ago Be among the first 25 applicants
Lensa is the leading career site for job seekers at every stage of their career. Our client, City of New York, is seeking professionals in New York, NY. Apply via Lensa today!
Job Description
Your Team:
The Division of Building and Land Development Services (BLDS) leads the agency’s effort in providing architectural, engineering, cost valuation, environmental planning, and construction support services to the various divisions within HPD’s Office of Development. The Office of Development utilizes a public-private partnership model and provides loans, grants, and/or incentives to assist in the finance of housing development projects that will benefit low- and moderate-income New Yorkers.
BLDS is the largest division within the Office of Development with over 100 staff, and is composed of seven units, including: the Bureau of New Construction Design Services, the Bureau of Preservation Design Services, the Bureau of Engineering, the Bureau of Construction Services, the Environmental Planning Unit, the Program Management Unit, and the Executive Office.
Your Impact
As Data Analyst, you will report to the Deputy Director of Analytics, within the BLDS Executive Office. You will work with the six other BLDS units to facilitate the analysis of internal and cross-agency data, while identifying trends in housing development projects. In addition, you will develop metrics and prepare reports and analyses related to performance evaluation, compliance, projects, or other initiatives.
Your Role
The ideal candidate should have a Bachelor’s or Graduate Degree in a relevant field of study, such as Data Science, Urban Planning, or Public Administration. The ideal candidate will have superior data synthesis and management skills and be adept at utilizing data management tools.
Your Responsibilities
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