Greystar
Posted 19 days agoVerified live 1d ago
Analytics Engineering Intern
Brief overview
Remote
Undergrad juniorOr in progress
$31–$45/hrStated range
26 H-1B approvalsDept. of Labor
7 green cardsCertified filings
SQLPythonDatabricksData ModelingData Visualization
About the company
Greystarjobs.greystar.com
Global real estate and property management company.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.26H-1B approved
93%approval rate
9new H-1B hires
7PERM certified
$105,144median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20236
20247
202513
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20231
20243
20258
20262
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20242
20254
20261
Top sponsored roles
Project EngineerAssistant Project ManagerApplication Development AssociateDirector, Enterprise Services OperationsDataOps Engineer
Sponsored employees from
India
Job description
Summary
Greystar is a global real estate platform offering property management, investment management, development, and construction services. The Analytics Engineering Intern will work with analysts, engineers, and business teams to solve a real business problem by building and validating data models, analyzing data quality, documenting work, and presenting recommendations.
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
- 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
Qualifications
Must Haves
- 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
Benefits
- Executive Speaker Series — hear directly from the people leading the industry
- Business Segment Overviews — get the full picture of how each part of Greystar works
- Mentor Relationships — build connections that go beyond the summer
- Site Visits — see the work happening in the field, up close
- Community Outreach — give back alongside your team
- Networking Opportunities — meet people across the company
- Employee Assistance Program
- Paid sick time
