NYU Furman Center Housing Solutions Lab Data and Research Analyst

The NYU Furman Center invites applications for a Data and Research Analyst to join the Housing Solutions Lab (Lab). The Lab is housed at the Furman Center and works with cities across the country to design, monitor, and evaluate promising local housing policies. The Lab seeks to help cities advance evidence-based local housing policies that center racial equity, increase access to opportunity, and support resident health and well-being. The Lab serves cities of all sizes, with a focus on small and midsize cities (with populations of 50,000-500,000).

The Data and Research Analyst will play a critical role in the Lab’s growing research, evaluation, and technical assistance activities by contributing to all aspects of data management and analysis for a diverse set of projects.

The position requires working as a part of a collaborative, multidisciplinary team engaged in multiple projects concurrently. The successful candidate will be well-versed in data cleaning, manipulation, and analysis, and in presenting results in creative, visually appealing ways for a range of policymaker, practitioner, and academic researcher audiences. 

We seek a highly organized person for this role, with superior written and verbal communications skills, and excellent project and time management ability. The Data and Research Analyst will report to the Lab’s Executive Director and Research Associate, and work closely with other Lab and Furman Center staff on various projects. 

Primary Responsibilities

• Clean, merge, match and analyze data from a range of complex administrative datasets, including U.S. Census Bureau data, US Department of Housing and Urban Development data, and a range of state and local datasets.  
• Perform exploratory analyses and help identify potential research questions, data visualizations, or projects the data could support.
• Collaborate with the research team to draft academic research papers, policy and data briefs for practitioner and policymaker audiences, as well as blog posts, data visualizations, and presentations.
• Collaborate with the technical assistance team to provide data and analytic support to cities participating in Lab activities. 
• Provide ongoing data and research support to Lab leadership and faculty as needed.
• Regularly communicate progress to colleagues and supervisors.
• Work with the Furman data management team to supervise graduate research assistants.

Qualifications

• A bachelor’s degree in public policy, urban planning, economics, statistics, or other relevant field; master’s degree preferred. 
• At least two years of relevant experience in an academic, government, think tank, or policymaking setting. 
• Knowledge of statistical software (e.g., R (preferred), SAS, Stata, or SPSS); knowledge of GIS software (e.g., ArcMap, QGIS, R Packages for Spatial Analysis) a plus.
• Ability to communicate quantitative findings and complex concepts to a wide range of audiences, in writing, verbally, and in presentations.
• Substantive knowledge or experience in housing policy, urban planning, homelessness, or related fields is a plus. 

To Apply:  Applicants should submit a cover letter, resume, writing and/or data visualization sample, and list of 3 references. Send application materials and questions to furmanjobs@nyu.edu. Please include “Data and Research Analyst” in the subject line. Review of applications will begin immediately. Only candidates selected for an interview will be contacted.

NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels.