The NYU Furman Center seeks a full-time Research and Data Analyst for a new initiative, the Housing Solutions Lab. The Housing Solutions Lab (Lab) will work with cities across the country to plan, develop, implement, monitor, and evaluate promising local housing policies. With a focus on small and midsize cities (those with populations of 50,000-500,000), the Lab will help cities to design housing strategies and conduct rigorous evaluations that identify the most effective policies and programs.
The Research and Data Analyst will work closely with our dynamic interdisciplinary team of lawyers, economists, and urban planners to perform quantitative analyses that address important and timely policy issues.
- Policy research and analysis
- Assists with program/policy design for the purposes of research/evaluation
- Analyzes Census, other publicly available datasets, administrative and proprietary data to produce analyses relevant for small and midsize cities, and collaborates with team members to write and edit documents that disseminate findings (blogs, data briefs, social media content, etc.)
- Monitors the national housing policy landscape for issues and trends in small and midsize cities, especially for reports and research related to housing issues
- Participates in national working groups that collectively focus on housing policy, specifically on data and research opportunities and issues
- Data management and communication
- Helps generate ideas for rigorous program evaluations of local housing and land use policies and programs
- Assists with the identification of cities for the Lab to partner with on important data projects
- Collaborates with team members to respond to Technical Assistance requests
- Assists with execution of data and research agreements, memorandums of understanding, and other important privacy measures to help facilitate data collection with local jurisdictions
Minimum Qualifications: An advanced degree in public policy/administration, urban planning, economics, applied statistics, data science, or a related field, plus strong quantitative data analysis skills. The candidate must demonstrate strong data analysis skills, organizational and project management ability, analytical thinking, and ability to communicate quantitative findings and complex concepts in writing and orally. The candidate must be comfortable working on a team and must have ability to multitask, respond to shifting priorities, and meet strict deadlines. The candidate should have knowledge of at least one statistical or mathematical software package and be willing to learn R.
To Apply: Applicants should submit a cover letter, resume, writing sample, grad school transcripts (unofficial copies are acceptable), and list of 3 references. Send application materials and questions to email@example.com. Please include “Research and Data Analyst” in the subject line. Review of applications will begin immediately. Only candidates of interest will be contacted.