Associate Analytics Engineer

ABOUT GREYSTAR

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

Greystar’s D²AI (Data, Digital, and AI) team is looking for an early-career Associate Analytics Engineer to help turn data into products that drive better business decisions.

As part of a forward-deployed Decision Intelligence pod, you’ll work directly alongside a critical area of Greystar’s business—learning its goals, workflows, and challenges and using data, analytics, and AI to help solve real problems. You’ll contribute to products ranging from dashboards and predictive models to lightweight web applications, while building your technical skills alongside experienced engineers.

• Use SQL, Python, Databricks, and AI-enabled tools to analyze data and build data products.
• Work directly with business partners to understand problems and turn them into practical solutions.
• Build and maintain reliable data models, dashboards, analyses, and other analytics products.
• Use AI tools and automation as part of your day-to-day development workflow.
• Validate data quality and help ensure the products you build are accurate, reliable, and well documented.
• Present findings and recommendations to both technical and non-technical partners.
• Take on increasing ownership as your technical skills and understanding of the business grow.

• Bachelor’s or master’s degree in Analytics, Data Science, Computer Science, Applied Mathematics, Economics, Statistics, or a related quantitative field.
• 0–2 years of relevant experience; internships, co-ops, academic projects, and personal projects count.
• Strong SQL skills and working knowledge of Python.
• Exposure to data visualization tools such as Power BI, Tableau, or Qlik.
• Hands‑on experience using AI tools in your work, coursework, or personal projects.
• Curious, resourceful, and comfortable learning new technologies and unfamiliar business problems.
• Strong communication skills and the ability to collaborate across technical and business teams.

The salary range for this position is $75,000–85,000K USD Annually

Many factors go into determining employee pay within the posted range including business requirements, prior experience, current skills and geographical location.

• Corporate Positions:
  
  In addition to the base salary, this role may be eligible to participateina quarterly or annual bonus program based on individual and company performance.
• Onsite Property Positions:
  
  In addition to the base salary, this role may be eligible to participate in weekly, monthly, and/or quarterly bonus programs.

• Competitive Medical, Dental, Vision, and Disability & Life insurance benefits. Low (free basic) employee Medical costs for employee-only coverage; costs discounted after 3 and 5 years of service.
• Generous Paid Time off. All new hires start with 15 days of vacation, 4 personal…