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City of New York · 1 month ago

Analyst, Division of Strategic Operations & Analytics

New York City, NY

Full-time

Hybrid

Entry, Mid Level

$63K/yr - $75K/yr

2+ years exp

The City of New York is the nation's largest municipal housing preservation and development agency, promoting quality housing and diverse neighborhoods. As an Analyst on the Data & Program Analytics team, you will manage critical analytic projects that advance HPD’s mission to provide safe, secure, and affordable housing for New Yorkers.

GovernmentLegalPublic Relations

Responsibilities

Lead in-depth analytic projects and use data storytelling to communicate insights that inform housing program performance and design

Gather, clean, merge, and analyze large, complex datasets to produce clear analytic reports, models, and dashboards that support data-driven decision-making

Collaborate with program staff, senior managers, and other stakeholders to collect information and context, while developing a strong understanding of program operations, policy goals, and datasets within your portfolio

Provide technical assistance to program staff on using data-driven program management tools

Develop and refine performance metrics that measure progress and illustrate the impact of HPD’s work on New Yorkers

Respond to ad hoc data requests from HPD programs, senior leadership, and external stakeholders with timely and accurate analysis

Qualification

Data analysisStatistical analysis softwareData visualizationPythonPower BICommunicationInterpersonal skillsTeam collaboration

Required

A baccalaureate degree from an accredited college and two years of experience in community work or community centered activities in an area related to the duties described above; or

High school graduation or equivalent and six years of experience in community work or community centered activities in an area related to the duties as described above; or

Education and/or experience which is equivalent to '1' or '2' above. However, all candidates must have at least one year of experience as described in '1' above

Preferred

Strong communication and interpersonal skills; ability to convey data analysis and concepts to colleagues with varying levels of comfort with data

Data enthusiast with a passion for using data to improve government policies and learning new tools

Experience with coding, visualizing data, and statistical analysis software such as advanced Excel, Python, R, Power BI, and/or other geospatial tools

Collaborative, team player with the ability to also drive things forward independently

A graduate degree in a relevant field is a plus