What are the responsibilities and job description for the Graduate Fellow: Community Intelligence, Housing & Economic Development Analytics position at San Francisco Association of REALTORS®?
About the Opportunity
The San Francisco Association of REALTORS® is seeking a Graduate Fellow to help design and develop an innovative Community Intelligence Platform that combines housing, real estate, economic, demographic, development, and community data into a powerful decision-support resource for San Francisco.
This fellowship sits at the intersection of housing, economic development, public policy, data analytics, and artificial intelligence.
The selected Fellow will work directly with executive leadership to create tools that help community organizations, policymakers, researchers, businesses, REALTORS®, and residents better understand the trends shaping San Francisco's future.
What You'll Work On
- Housing and real estate market analytics
- Community and economic development indicators
- Public policy and demographic research
- Data integration and dashboard development
- Artificial intelligence applications and data storytelling
- Grant-writing and funding support resources
- Executive reporting and community insights
Who Should Apply
Applicants may include:
- Current graduate students
- Recent master's graduates
- Recent Ph.D. graduates
- Post-doctoral researchers
Fields of study may include:
- Public Policy
- Urban Planning
- Economics
- Data Science
- Business Analytics
- Public Administration
- Real Estate Development
- Computer Science
- Information Systems
- Related disciplines
Preferred Skills
- Data analysis and quantitative research
- SQL, Python, R, or similar tools
- Tableau, Power BI, ArcGIS, Looker, or related platforms
- Data visualization and dashboard development
- Interest in housing, economic development, and civic innovation
- Familiarity with AI, machine learning, or large language models
Fellowship Timing
The fellowship is expected to run approximately six to nine months. Start dates are flexible and may align with academic calendars, research schedules, or mutually agreed timelines.