About The Position

The New York City Department of Housing Preservation and Development (HPD) promotes quality and affordability in the city's housing, and diversity and strength in the city’s neighborhoods because every New Yorker deserves a safe, affordable place to live in a neighborhood they love. HPD maintains building and resident safety and health, creates opportunities for New Yorkers through housing affordability, and engages New Yorkers to build and sustain neighborhood strength and diversity. The Office of Policy and Strategy (OPS) leverages its expertise to guide and support HPD and its many Offices in their efforts to deepen their impact, optimize their efficiency, and become more data-driven, climate-adaptive, and mission-focused. As part of OPS, the Division of Strategic Operations and Analytics (SOA) works to increase HPD's impact by analyzing and improving operations agency-wide. SOA clarifies HPD program missions, objectives, and stakeholders; implements initiatives that advance HPD's goals; analyzes data to deliver actionable insights to HPD programs; and increases the agency's overall ability to leverage data. As a Senior Data Analyst on the Data & Program Analytics (DPA) team within SOA, you will manage impactful analytic projects and initiatives to support HPD’s mission to provide secure and safe affordable housing in New York City. You will work in close partnership with HPD leadership and staff, including analytics team colleagues.

Requirements

  • 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
  • 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
  • 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.
  • Authorization to work in the United States is required for this position.
  • 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: 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 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 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.

Nice To Haves

  • Enthusiastic about using data to improve government operations and policies, with a willingness to learn new tools.
  • Advanced ability to manage and analyze large datasets using programming languages such as Python, SQL, R, or Stata.
  • Strong ability to synthesize complex ideas and communicate them effectively through writing, presentations, and visualizations.
  • Meticulous attention to detail, with the ability to independently validate data integrity and analysis results.
  • Strong interpersonal and communication skills; a collaborative team player who can also drive projects forward independently.
  • Solid understanding of statistical methods and the ability to apply sound statistical techniques to quantitative research.
  • Passion for and willingness to learn about housing issues relevant to New York City.
  • Knowledge of geographic information systems (GIS), including geocoding and spatial analysis using ArcGIS or similar tools, is a plus.
  • Candidates without government experience with an interest in applying their skills to HPD’s mission are welcome to apply.

Responsibilities

  • Lead in-depth analytic projects and use data storytelling to communicate insights that inform housing program performance and design
  • Gather, prepare, and merge large datasets from disparate data systems to analyze agency programs.
  • Support data-driven program operations by providing technical assistance to program staff on using data-driven management tools.
  • Develop reports and dashboards to guide program design, operations, and performance evaluation, including: Conducting in-depth analyses on HPD housing programs, with a focus on outputs, efficiency, and impact. Providing data-driven recommendations informed by engagement with program staff, senior managers, and other stakeholders.
  • Manage special projects that analyze complex programmatic, policy, and operational challenges related to HPD’s strategic preservation programs and initiatives.
  • Respond to data requests from programs, senior management, and external stakeholders, ensuring timely and insightful analysis.
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