Brio Real Estate is a Blackstone Real Estate portfolio company focused on real estate credit. Brio supports Blackstone’s Real Estate Debt Strategies (“BREDS”) investments across the globe. The company provides support across key functions, including corporate, transaction, and management services. The critical infrastructure and capabilities Brio provides for BREDS allows for effective support in the management of its global portfolio.
Today, BREDS has more than $76 billion of investor capital across high yield / opportunistic real estate credit funds, a publicly traded Mortgage REIT, and liquid securities strategies. BREDS is part of Blackstone Real Estate, the largest owner of commercial real estate globally, owning and operating assets across every major geography and sector.
Role Purpose:
At Brio, the Associate, Data Analyst plays a key role in supporting our data ecosystem by connecting technical and business teams and enabling critical day-to-day operations. You will partner with cross-functional stakeholders, including the trading desk, to understand data needs, build queries, and deliver actionable insights. Using platforms like Snowflake, Amazon Redshift, and SQL Server, you will help develop scalable data solutions and support the integration of new datasets into our analytical framework.
What you will do:
Play a central role in our data ecosystem. You'll serve as the critical link connecting technical and business functions, supporting essential workflows that power our daily operations. You'll be instrumental in onboarding and integrating every new dataset that enters our analytical framework.
Work directly with cross-functional teams. You'll collaborate with trading desk to understand their data needs and build queries to support their analysis
Work with industry-standard technology. You'll leverage platforms like Snowflake, Amazon Redshift, and SQL Server to build scalable data solutions
What you should have:
An experienced data analyst with technical depth. You have 3+ years of professional experience analyzing complex datasets and writing SQL, Python, or similar languages to automate reporting and analysis. You are able to translate business requirements into efficient data solutions while accounting for performance and scalability.
Passionate about loan-level data and/or structured products. You have 2+ years of professional experience in fintech or structured products, working with loan-level information and understanding the complexities of amortization, prepayment, default, and loss severity. Your typical day-to-day involves wrangling messy loan tape data into a usable state, building complex analytics on asset performance, and creating reports on portfolio metric