Associate Analytics Engineer

Summary

Greystar is a global real estate platform offering property management, investment management, development, and construction services. The Associate Analytics Engineer will use data, analytics, AI, SQL, Python, and Databricks to build reliable data products, dashboards, analyses, and models that support business decisions. The role also involves collaborating with business partners, validating data quality, presenting recommendations, and increasing ownership over time.

Responsibilities

• 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

Skills

• 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

Qualifications

Must Haves

• 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

Benefits

• This role may be eligible to participate in a quarterly or annual bonus program based on individual and company performance.
• 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.
• All new hires start with 15 days of vacation, 4 personal days, 10 sick days, and 11 paid holidays.
• Birthday off after 1 year of service.
• Additional vacation accrued with tenure.
• For onsite team members, onsite housing discount at Greystar-managed communities are available subject to discount and unit availability.
• 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.
• Lifetime Fertility Benefit reimbursement up to $10,000 (includes adoption or surrogacy).
• Employee Assistance Program.
• Critical Illness, Accident, Hospital Indemnity, Pet Insurance and Legal Plans.
• Charitable giving program and benefits.
• Benefits offered for full-time employees.