A bachelor’s degree in economics, finance, math, computer science, data science, or a related discipline; Proficiency in Python, R, or Stata and demonstrated ability to learn and work in additional analytical languages; Strong SQL skills and experience designing and maintaining relational and analytical data systems, using tools such as PostgreSQL, DuckDB, or comparable technologies; Experience with data visualization and geospatial tools, such as Tableau, PostGIS, QGIS, Mapbox, ggplot2, or Matplotlib; Experience using various AI models to accelerate data collection and analysis; Knowledge of version control systems such as Git and GitHub and other quality control protocols; Strong communication, organizational, and problem-solving skills; The ability to work effectively in a fast-paced, team-oriented environment; and. A master’s degree in economics, finance, math, computer science, or a related discipline; Working experience with Stata and Microsoft Excel; Experience with web development, cloud-based, and development tools, such as HTML, JavaScript, AWS, or Docker; Experience automating, scheduling, testing, and documenting recurring data workflows, using tools such as Airflow, GitHub Actions, or comparable systems; A demonstrated interest in housing and public policy research; Experience managing other team members’ workflows; and.