CBRE is the world’s largest commercial real estate services and investment firm, and they are seeking a Private Equity Data Analyst to support an Asset Management team. The role involves managing data and analytics for a nationwide multifamily portfolio, building reporting tools, and leveraging artificial intelligence to improve productivity and insights.
Build, maintain, and enhance portfolio‑wide dashboards and reporting tools in Power BI and advanced Excel
Develop automated reporting workflows to streamline recurring deliverables and reduce manual processing
Manage and analyze large datasets across the nationwide multifamily portfolio to identify trends, operational insights, and performance drivers
Ensure data accuracy, completeness, and consistency in client’s Power BI REBA platform
Be able to draw conclusions and identify patterns from large multifamily data sets
Set up new deals, verify information flows correctly, and troubleshoot issues that arise
Use artificial intelligence tools (e.g., Microsoft Copilot, generative AI workflows, automation scripts) to accelerate reporting, analysis, and insight generation
Identify opportunities to incorporate AI into day-to-day tasks, increasing efficiency in internal & external processes
Recommend improvements in workflows, reporting structures, and analytics capabilities
Serve as the day‑to‑day point of contact for the client’s IT-related data initiatives
Assist with property data capture and coordinate survey responses from our partners and property management teams
Collaborate with asset managers, operations teams, and technology partners to deliver actionable insights and ensure reporting needs are met
Qualification
Required
0–2 years of experience in data analysis, reporting, or a similar analytical role
Strong proficiency in advanced Excel (Power Query, data modeling, complex formulas, automation experience preferred)
Experience building visual dashboards in Power BI (or comparable BI tool)
Ability to manage, analyze, and interpret large datasets with accuracy
Comfort using or learning AI productivity tools to enhance workflows
Strong attention to detail, organization, and documentation discipline
Bachelor's degree Mathematics, Statistics, Computer Science, Engineering, or a related quantitative field
Preferred
Experience with SQL, Python, or other coding languages for data automation
Background or interest in commercial real estate, especially multifamily — not required but a plus
Experience working with enterprise data platforms such as REBA or similar systems
Benefit
Operating across every dimension of commercial real estate, CBRE sees more so you can do more.
