Associate Analytics Engineer
Greystar
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.