Associate Analytics Engineer

Greystar; Yates Township (MI); Hybrid; USD 75,000 - 85,000; Full time

Benefits offered by this job

Medical insurance

Dental & Vision

Paid time off

Housing discount

401(k) match

Parental leave

Sabbatical

Job summary

Greystar’s D²AI team seeks an early‑career Associate Analytics Engineer to turn data into products that drive business decisions. You’ll work alongside a Decision Intelligence pod, learning goals, workflows, and challenges while delivering dashboards, models, and lightweight apps.

You’ll collaborate with partners, build data models, and apply AI tools to create practical solutions, growing your technical skills and business understanding over time.

Qualifications

• Bachelor’s or master’s degree in Analytics, Data Science, Computer Science, Applied Mathematics, Economics, Statistics, or a related field.
• 0–2 years of relevant experience; internships, co-ops, academic 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.

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

Databricks

Power BI

Tableau

Qlik

AI tools

Data modeling

Data analysis

Communication

Education

Bachelor's or master's degree in Analytics / Data Science / CS / Applied Mathematics / 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.

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.

Compensation and Benefits

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: In addition to the base salary, this role may be eligible to participate in a quarterly or annual bonus program based on individual and company performance.
• Onsite Property Positions: In addition to the base salary, this role may be eligible to participate in weekly, monthly, and/or quarterly bonus programs.
• Robust Benefits Offered*: 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.
• 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, Hospital Indemnity, Pet Insurance 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 listed information 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.

Important Notice: Greystar will never request your banking details or other sensitive personal information during the interview process. Greystar does not conduct any interviews via text or messaging, and all communication will come from official Greystar email addresses (@greystar.com). If you receive suspicious requests, please report them immediately to [e-mail].

As a Greystar team member, you will hear a lot about our Core Values. They are the values we live and work by, reflecting who we are and the quality of our relationships.

Core Values

• Integrity We stay true to the highest ethical standards and principles, and are honest, trustworthy, humble, and respectful in all of our words and actions.
• Equality We celebrate individual differences, encourage diversity of thought, provide equality of opportunity, and cultivate an environment where all individuals are seen, treated, and valued equally.
• Professionalism We proudly present a positive, dignified, and businesslike image at all times through our appearances, behavior, and interactions with others.
• Accountability We take responsibility and accept ownership for our words, actions, tasks, and results, and respectfully hold others to the same standard.
• Service We make service our top priority by giving our time, knowledge, and experience to serve the needs of our customers, community, and team members.
• Teamwork We work together to accomplish goals, solve problems, and enrich our work environment.