Senior Research Associate

Responsibilities

• Conduct quantitative and qualitative research and author, co-author, and contribute writing and research to policy briefs, data tools, analyses, and articles.
• Develop and maintain Python-based workflows that automate data collection, cleaning, integration, quality assurance, and updates of large housing, demographic, economic, and geospatial datasets.
• Design, maintain, and document updates for the Partnership’s public-facing data tools, dashboards, and research products.
• Conduct quantitative and spatial analyses using Python, SQL, and/or GIS to evaluate housing affordability, housing need, preservation opportunities, and other policy issues.
• Contribute to the ongoing development of new quantitative and qualitative research methods to support our research agenda and in response to the needs of our partners.
• Respond to inquiries from government agencies, jurisdictions, nonprofit developers, and research institutions.
• Represent the Partnership through presentations to working groups, regional conferences, and other external settings.
• Provide data, technical assistance, and other information to the CEO and Director of Policy Advocacy to help the Partnership advance its policy agenda.
• Stay current with pertinent literature, developments, and data visualizations around issues of demographic change, housing supply, affordability, inequality, mobility, and equitable growth.
• Plan and execute segments of research/policy projects in consultation with and under the general supervision of senior staff.
• Perform routine administrative functions (e.g., submission of timesheets, participating in performance evaluations, etc.).

• At least four (4) years of experience in affordable housing research, policy making, or advocacy work, or substantially equivalent experience.
• Bachelor's degree in a directly related field, such as public policy, political science, sociology, etc., may substitute for up to one (1) year of direct experience.
• Master's degree in a directly related field, such as public policy, political science, sociology, etc., may substitute for up to two (2) years of direct experience.
• Commitment to addressing the housing needs of low-income Californians and advancing racial equity through housing policy and research.
• Intermediate Python skills.
• Intermediate quantitative data analysis skills.
• Intermediate spatial analysis skills with ArcGIS or QGIS.
• Strong organizational skills.
• Strong writing skills.
• Intermediate Proficiency with Microsoft Excel.
• Able and willing to travel within California.