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Greystar

Analytics Engineering Intern

Greystar

. Partner with business teams to understand their goals and data needs .

Posted 9/16/2026full-timeRemote • Michigan • United StatesEntry Level💰 $31 - $45 per hourWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates proficiency in SQL and Python for data modeling and analysis, with a strong focus on utilizing AI tools and data visualization techniques. Capable of effectively communicating insights and recommendations to business leaders while maintaining attention to detail and a proactive approach to problem-solving.

Highest-signal resume keywords
SQLPythonData ModelingData VisualizationAI Tools

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalysisData ValidationStatistical AnalysisData Quality AssessmentCapstone Project Development
Soft Skills
Strong CommunicationCuriosityAttention to DetailQuick LearnerOwnership
Tools & Technologies
DatabricksPower BITableau
Industry Keywords
AnalyticsData ScienceComputer ScienceEconomicsStatistics

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • 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 in day-to-day workflow
  • Analyze data, identify quality issues, and develop practical solutions
  • Test, document, and improve work based on feedback
  • Present final project and recommendations to business and Decision Intelligence leaders
  • Complete a 10-week summer internship with real projects and responsibility
  • Participate in executive speaker series, business segment overviews, mentor relationships, site visits, community outreach, and networking opportunities
  • Present a Final Capstone Project

Requirements

What you’ll need
  • 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

Comp & perks
  • Employee Assistance Program
  • Paid sick time
  • Quarterly or annual bonus program may be available for corporate positions based on individual and company performance
  • Weekly, monthly, and/or quarterly bonus programs may be available for onsite property positions