Private Equity Real Estate Senior Data Analyst

** About the role*
* In this role you provide support to the Asset Management team and its commercial real estate private equity client by managing data and analytics for its nationwide multifamily portfolio. This role requires a highly analytical, tech‑forward person that enjoys portfolio reporting and analytics. This role is ideal for candidates with a background in math,statistics, computer science, or engineering, who are passionate about working with large datasets, building scalable reporting tools, and leveraging artificial intelligence to improve productivity and insight generation for adynamic team in the commercial real estate sector.

** What you'll do*
* ** Portfolio Reporting & Analytics*
* + 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.

** Data Quality Management*
* + 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.

** Technology,AI, & Innovation*
* + 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.

** Client Interaction*
* + 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.

** What you'll need*
* + 2-6 years of experience in data analysis, reporting,     or a similar analytical role (analyst or senior analyst level).

+ Strong proficiency in advanced Excel (Power Query,     data modeling, complex formulas, automation experience preferred).

+ Background or interest in commercial real estate, especially multifamily

+ 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 Finance, Mathematics, Statistics,Computer Science, Engineering, or a related quantitative field.

+

Experience with SQL, Python, or other coding     languages for data automation.

+ Experience working with enterprise data platforms     such as REBA or similar systems.

+ Must be willing and able to work in Atlanta office 5 days a week.

** Why CBRE?*
* When you join CBRE, you become part of the global leader in commercial real estate services and investment that helps businesses and people thrive. We are dynamic problem solvers and forward-thinking professionals who create significant impact. Our collaborative culture is built on our shared values - respect, integrity, service and excellence - and we value the diverse perspectives, backgrounds and skillsets of our people.

At CBRE, you have the opportunity to chart your own course and realize your potential. We welcome all applicants.

Our Values in Hiring

At CBRE, we are committed to fostering a culture where everyone feels they belong. We value diverse perspectives and experiences, and we welcome all applications.

Applicant AI Use Disclosure

We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates…