AI-Driven Analytics Engineering Intern

Greystar; Georgia; On-site; USD 43,000 - 62,000; Part time

Benefits offered by this job

Employee Assistance Program

Paid sick time

Job summary

Greystar’s Data, Digital, and AI (D²AI) organization offers an Analytics Engineering Intern role on the Decision Intelligence team. You’ll work with analysts and engineers to solve a real business problem using data, own a scoped project end-to-end, and gain hands-on experience with modern analytics tools and AI-assisted development.

You’ll partner with business teams, build and validate data models with SQL and Python, and analyze data to identify quality issues.

Qualifications

• 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 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.

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.

Skills

SQL

Python

Databricks

Power BI

Education

Pursuing a bachelor’s or master’s degree in Analytics, Data Science, Computer Science, Economics, Statistics, or related quantitative field

Tools

Power BI

Job description

Greystar’s Data, Digital, and AI (D²AI) organization offers an Analytics Engineering Intern role on the Decision Intelligence team. You’ll work with analysts and engineers to solve a real business problem using data, own a scoped project end-to-end, and gain hands-on experience with modern analytics tools and AI-assisted development.

You’ll partner with business teams, build and validate data models with SQL and Python, and analyze data to identify quality issues.