Associate Analytics Engineer

Greystar Worldwide, LLC; Michigan; On-site; USD 75,000 - 85,000; Full time

Benefits offered by this job

Medical benefits

Paid time off

Housing discount

Sabbatical

Job summary

Greystar is seeking an early-career Associate Analytics Engineer to turn data into products that drive smarter business decisions. You will join a forward-deployed Decision Intelligence pod and work on dashboards, predictive models, and lightweight web apps while learning the business goals, workflows, and challenges.

You’ll collaborate with business partners, build data models, and apply AI to automate workflows, ensuring data quality and clear documentation.

Qualifications

• 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.

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

SQL

Python

AI tools

Education

Bachelor’s or master’s degree in Analytics/Data Science/CS/Applied Math/Economics/Statistics

Tools

Power BI

Tableau

Qlik

Job description

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 www.greystar.com.

JOB DESCRIPTION SUMMARY

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.

JOB DESCRIPTION

What You’ll Do

• 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.

What We’re Looking For

• 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

Additional Compensation

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

• Corporate Positions:Inaddition to the base salary, this role may be eligible to participateina quarterly or annual bonus program based onindividual and company performance.
• Onsite Property Positions:Inaddition to the base salary, this role may be eligible to participatein weekly, monthly, and/or quarterly bonus programs.

Robust Benefits Offered*:

• Competitive Medical, Dental, Vision, and Disability & Lifeinsurance 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 days, 10 sick days, and 11 paid holidays. Plus your 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 and lifetime Fertility Benefit reimbursement up to $10,000 (includes adoption or surrogacy).
• Employee Assistance Program.
• Critical Illness, Accident, HospitalIndemnity, PetInsurance and Legal Plans.
• Charitable giving program and benefits.

*Benefits offered for full-time employees. For Union and Prevailing Wage roles, compensation and benefits may vary from the listedinformation above due to Collective Bargaining Agreements and/or local governing authority.

Greystar will consider for employment qualified applicants with arrest and conviction records.

Greystar is an equal opportunity employer and does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, military or veteran status, or any other characteristic protected by applicable law.