Analytics Engineering Intern

About the role

Greystar is a leading, fully integrated global real estate platform offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing. Headquartered in Charleston, South Carolina, Greystar manages and operates over $350 billion of real estate in more than 260 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region. Greystar is the largest operator of apartments in the United States, managing over one million units/beds globally. Across its platforms, Greystar has nearly $79 billion of assets under management, including over $34 billion of development assets and over $36.5 billion of regulatory assets under management. Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business. To learn more, visit www.greystar.com.

As an Analytics Engineering Intern on the Decision Intelligence team within Greystar’s Data, Digital, and AI (D²AI) organization, you’ll work alongside analysts and engineers to solve a real business problem using data. You’ll own a scoped project from start to finish, gaining hands‑on experience with modern analytics tools, AI‑assisted development, and real‑world data.

Responsibilities

• Partner with business teams to understand their goals and data needs.
• Build and validate data models using SQL, Python, and Databricks.
• Use AI coding assistants as part of your day‑to‑day workflow.
• Analyze data, identify quality issues, and develop practical solutions.
• Test, document, and improve your work based on feedback.
• Present your final project and recommendations to business and Decision Intelligence leaders.

Requirements

• Pursuing a bachelor’s or master’s degree in Analytics, Data Science, Computer Science, Economics, Statistics, or a related quantitative field.
• Expected graduation between December 2027 and June 2028.
• Experience with SQL and Python through coursework, projects, or previous internships.
• Exposure to data visualization or business intelligence tools such as Power BI or Tableau.
• Interest in using AI tools to support technical and analytical work.
• Strong communication, curiosity, and attention to detail.
• Ability to learn quickly, ask thoughtful questions, and take ownership of your work.

Skills

• SQL
• Python
• Databricks
• AI coding assistants
• Power BI / Tableau (data visualization)

Benefits

• Employee Assistance Program
• Paid sick time

*For Union and Prevailing Wage roles, compensation and benefits may