Associate Analytics Engineer

Greystar

Atlanta, GA0–2 yrs1h agovia LinkedIn

Posted 13 Nov 2026, 19:42 ET

This job at a glance

Who can apply
New grads and up to 2 years · Bachelor's degree or Master's degree
Must know
Data visualizationPythonSQLSparkStakeholder managementStatistics
Work
On-site in Atlanta
Pay
$75K–$85K a year
Skill demand
SQL66%Data visualization63%Python47%Spark6%of 64 similar entry-level jobs posted in the US this week
Listed
Nov 13, 2026 · still open

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About the Role

Greystar's D²AI (Data, Digital, and AI) team is seeking an early-career Associate Analytics Engineer to contribute to building data products that inform business decisions. As part of a Decision Intelligence pod, you will work closely with a critical business area, learning its objectives, workflows, and challenges to develop data-driven solutions. You will contribute to products such as dashboards, predictive models, and lightweight web applications, while developing 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 translate them into practical solutions.
  • Develop and maintain reliable data models, dashboards, analyses, and other analytics products.
  • Integrate AI tools and automation into the daily development workflow.
  • Validate data quality to ensure the 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.
  • Demonstrates curiosity, resourcefulness, and comfort with learning new technologies and unfamiliar business problems.
  • Strong communication skills and ability to collaborate across technical and business teams.

Compensation & Benefits

  • Salary Range: $75,000–$85,000 USD Annually.
  • Additional compensation factors include business requirements, prior experience, current skills, and geographical location.
  • May be eligible for quarterly or annual bonus programs based on individual and company performance (for corporate positions).
  • Onsite housing discounts may be available for onsite team members.
  • Robust benefits package including:
  • Competitive Medical, Dental, Vision, and Disability & Life insurance.
  • Generous Paid Time Off: 15 days vacation, 4 personal days, 10 sick days, 11 paid holidays, birthday off after 1 year.
  • 6-Week Paid Sabbatical after 10 years of service.
  • 401(k) with Company Match up to 6% of pay after 6 months.
  • Paid Parental Leave and lifetime Fertility Benefit reimbursement up to $10,000.
  • Employee Assistance Program.
  • Additional insurance plans (Critical Illness, Accident, etc.).
  • Charitable giving program.
  • Benefits offered for full-time employees. Compensation and benefits may vary for Union and Prevailing Wage roles.

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