Analytics Engineer

Analytics Engineer

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 those are traditional dashboards, predictive models, or lightweight web apps. Our team includes engineers, designers, and product leaders with experience from Google, Microsoft, Airbnb, Strava, and Amazon.

You'll spend most of your time devoted to one critical area of the business rather than behind a ticket queue. You'll learn its data, workflows, and real pain points firsthand, then use SQL, Python, Databricks, and AI tooling to build the product that solves the actual problem. AI is core to how this team works, not an afterthought: you're expected to use it daily to build faster, and we'll actively support you in doing that well. In practice, that means pods regularly ship predictive models and working web applications, the kind of work that would have required a dedicated engineering team not long ago.

Once you pick up an initiative, we expect you to own your piece from question through delivery, hand it off cleanly, and move to the next. Some initiatives will play to a deep specialty; others will ask you to learn a new part of the business fast. Comfort with that kind of movement is part of the job. As your understanding of the business deepens, you'll grow from answering its questions to bringing it recommendations of your own, and you'll be a confident, trusted voice in the room, from working sessions with on-site operators to briefings with senior leaders and executives.

What You'll Do

• Own Initiatives End to End
• Build Data Products That Drive Decisions
• Work AI-First
• Drive Data Quality and Trust

What You'll Bring

• Analytics Engineering Excellence
• AI Fluency
• How You Operate

Tools & Technologies

This stack is broader than a traditional analytics role would require, and that is deliberate. AI coding assistants have collapsed the ramp-up time on unfamiliar tools, and this team uses them daily to work well past where an analytics background alone would land. We do not expect depth in everything listed below. We do expect you to learn quickly and to understand what you ship well enough to stand behind it.

Compensation

The salary range for this position is $92,000 - $130,000 USD Annually. 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.

Benefits

• 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 View email address on click.appcast.io.