Analytics Engineer

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

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

Greystar's D²AI organization (Data, Digital, and AI) is responsible for the platforms, processes, and practices that power analytics and AI across the company. This role sits on Decision Intelligence, the team within D²AI that turns that capability into better business decisions. The name is the mandate: we exist to make the company's decisions faster, sharper, and better informed, not simply to produce reports.

We require AI fluency because this role sits at the intersection of data, technology, and business outcomes. That means understanding how AI systems are designed and operationalized, using AI‑enabled tools in your day‑to‑day work, and partnering effectively with engineering, analytics, and business teams so the solutions we ship are reliable, responsible, and impactful. We hire for Greystar, not for a single team.

You'll join a fast‑paced group and work across many initiatives as we modernize and rethink how the company operates. That range is the benefit: broad exposure to the business, real variety in the problems you solve, and the chance to help shape a multi‑billion dollar global operator rather than maintain one corner of it. The people who thrive here are versatile, self‑directed, and able to pick up unfamiliar business context quickly.

Decision Intelligence reports through Technology, but each pod's priorities and success are defined by the business it serves, not by the technology organization. Instead of a central intake queue, the team organizes into small, forward‑deployed pods: analysts and engineers who sit alongside one another, each pod devoted to a critical area of the business such as Marketing, Property Operations, Resident, or FP&A.

Pods become a standing part of that business rather than a rotating project resource. The best of what a pod builds graduates onto shared platforms, so a win in one area of the business becomes a capability for the whole company.

Greystar is building the data foundation that will power the most AI‑advanced operator in global multifamily real estate. As an Analytics Engineer on one of Decision Intelligence's forward‑deployed pods, you'll turn that foundation into working data products that a business team uses to make decisions every day, whether