Associate Analytics Engineer

Greystar

Charlotte, NC0–2 yrs2h agovia LinkedIn

Posted 13 Nov 2026, 13:20 ET

This job at a glance

Who can apply
New grads and up to 2 years · Bachelor's degree
Must know
Data visualizationPythonSQLSparkStakeholder managementStatistics
Work
On-site in Charlotte
Pay
Not stated by the employer.
Skill demand
Data visualization66%SQL66%Python41%Spark6%of 70 similar entry-level jobs posted in the US this week
Listed
Nov 13, 2026 · still open

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About Greystar

Greystar is a global real estate platform specializing in property management, investment management, development, and construction services for institutional-quality rental housing.

About the Role

Greystar’s D²AI (Data, Digital, and AI) team seeks an early-career Associate Analytics Engineer to transform data into actionable insights and products. You will work within a Decision Intelligence pod, collaborating directly with a critical business area to understand its goals, workflows, and challenges, and leverage data, analytics, and AI to develop solutions. This role involves contributing to dashboards, predictive models, and lightweight web applications, with opportunities to build technical skills alongside experienced engineers.

Key Responsibilities

  • Analyze data and build data products using SQL, Python, Databricks, and AI-enabled tools.
  • Collaborate with business partners to understand problems and develop practical solutions.
  • Construct and maintain reliable data models, dashboards, analyses, and other analytics products.
  • Integrate AI tools and automation into daily development workflows.
  • Validate data quality to ensure accuracy, reliability, and proper documentation of built products.
  • Present findings and recommendations to both technical and non-technical stakeholders.
  • Assume increasing ownership as technical skills and business understanding grow.

Requirements & Tech Stack

  • 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 are considered).
  • Strong SQL skills.
  • Working knowledge of Python.
  • Exposure to data visualization tools such as Power BI, Tableau, or Qlik.
  • Hands-on experience using AI tools in work, coursework, or personal projects.
  • Curiosity, resourcefulness, and a comfort with learning new technologies and unfamiliar business problems.
  • Strong communication skills and the ability to collaborate across technical and business teams.

Compensation & Benefits

  • Salary Range: $75,000–85,000 USD Annually
  • This role may be eligible for quarterly or annual bonus programs based on individual and company performance.
  • Medical, Dental, Vision, and Disability & Life insurance benefits.
  • Generous Paid Time Off: 15 days vacation, 4 personal days, 10 sick days, and 11 paid holidays per year for new hires.
  • Onsite housing discount at Greystar-managed communities may be available for onsite team members.
  • 6-Week Paid Sabbatical after 10 years of service and every 5 years thereafter.
  • 401(k) with Company Match up to 6% of pay after 6 months of service.
  • Paid Parental Leave and lifetime Fertility Benefit reimbursement up to $10,000.
  • Employee Assistance Program.
  • Additional insurance plans: Critical Illness, Accident, Hospital Indemnity, Pet Insurance, and Legal Plans.
  • Charitable giving program and benefits.
  • Benefits are offered for full-time employees.

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