Analytics Engineer for AI-Driven Data Products

Greystar Worldwide, LLC; Chicago (IL); On-site; USD 92,000 - 130,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Paid time off

401(k) match

Housing discount

Job summary

Greystar is building the data foundation that will power an AI-first operator in global multifamily real estate. As an Analytics Engineer on one of Decision Intelligence's forward‑deployed pods, you will turn that foundation into working data products used by business teams to make decisions every day, from dashboards to predictive models and lightweight web apps.

You'll spend most of your time in one critical area, learning its data, workflows, and pain points, then using SQL, Python,

Qualifications

• 3+ years in analytics/analytics engineering with end-to-end ownership.
• Quantitative degree or equivalent practical experience.
• Advanced SQL and data modeling with grain, keys, referential integrity.
• Strong Python for data analysis and tooling.

Responsibilities

• Own initiatives from original business question through data product delivery.
• Build and maintain data models and dashboards for business use.
• Design experiments and measurement plans to establish baselines and impact.
• Present findings and recommendations to diverse stakeholders.

Skills

Advanced SQL

Python

Databricks

Power BI

Tableau

Experiment design

Data modeling

Education

Quantitative degree

Tools

dbt

Azure

Git

Great Expectations

Job description

Greystar is building the data foundation that will power an AI-first operator in global multifamily real estate. As an Analytics Engineer on one of Decision Intelligence's forward‑deployed pods, you will turn that foundation into working data products used by business teams to make decisions every day, from dashboards to predictive models and lightweight web apps.

You'll spend most of your time in one critical area, learning its data, workflows, and pain points, then using SQL, Python,