Director of Analytics, Property Operations Pod Leader

Greystar

Georgia

Vor Ort

USD 145.000 - 165.000

Vollzeit

Vor 13 Tagen

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Benefits dieser Stelle

Health insurance
Paid time off
401(k) with company match
Sabbatical after 10 years
Housing discount

Zusammenfassung

Greystar's Data, Digital, and AI division leads analytics and AI across the company. The role heads the Property Operations pod, shaping work, delivery, and strategy with on-site operations and enterprise platforms like GPS and Podium.

You will hire and grow analytics engineers, set high standards, and partner with executives to align roadmaps with business priorities. You will build a high-performing team, drive technical excellence in SQL/Python, and leverage Databricks, Power BI, and modern

Qualifikationen

  • 8+ years in analytics or related discipline with 3+ years in people leadership.
  • Hands-on SQL, Python and data modeling to support design reviews.
  • Experience with real estate analytics and property operations preferred.
  • Strong stakeholder partnership across business units.

Aufgaben

  • Lead the Property Operations Pod and shape its work.
  • Own delivery, sequencing, quality of what ships and its adoption.
  • Deep-dive into Property Operations to surface opportunities.
  • Ensure the pod remains a standing part of the business with ongoing improvements.
  • Collaborate with platform teams to graduate products onto shared platforms.

Kenntnisse

Analytics leadership
Team leadership
Stakeholder collaboration
Business domain knowledge
SQL
Python

Tools

Databricks
Power BI
Tableau
Qlik
dbt
Azure

Jobbeschreibung

Greystar's Data, Digital, and AI division leads analytics and AI across the company. The role heads the Property Operations pod, shaping work, delivery, and strategy with on-site operations and enterprise platforms like GPS and Podium.

You will hire and grow analytics engineers, set high standards, and partner with executives to align roadmaps with business priorities. You will build a high-performing team, drive technical excellence in SQL/Python, and leverage Databricks, Power BI, and modern

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