Data Analyst, Associate - BXMA

Blackstone is the world’s largest alternative asset manager. We seek to create positive economic impact and long-term value for our investors, the companies we invest in, and the communities in which we work. We do this by using extraordinary people and flexible capital to help companies solve problems. Our $1.1 trillion in assets under management include investment vehicles focused on private equity, real estate, public debt and equity, infrastructure, life sciences, growth equity, opportunistic, non-investment grade credit, real assets and secondary funds, all on a global basis. Further information is available at www.blackstone.com. Follow @blackstone on LinkedIn, X, and Instagram.

As a Data Analyst within the BXMA technology team at BXTI, you will be instrumental in developing analytical tools that support our alternative asset management operations. You will also play a key role in advancing the firm's data platform, driving Blackstone's transformation through cutting-edge technology solutions. Collaborating with a diversified team of technologists and product managers, you will ensure the delivery of high-quality code that adds significant business value. Your responsibilities will encompass creating solutions for recurring deal diligence and automations to streamline the review and analysis of the current portfolio. 

Responsibilities: 

• Develop and maintain analytical software solutions using Python and SQL, ensuring code quality, scalability, reliability, and security. 

• Use code deployment best practices, including the use of change control (e.g., Git), CI/CD tooling (e.g., Jenkins), and cloud deployment technologies (e.g. Terraform). 

• Own the enablement and productionization of AI datasets, application clients, and service accounts across development, staging, and production environments, including authoring structured configuration artifacts and coordinating deployments. 

• Manage the end‑to‑end lifecycle of data used in AI and analytics workflows, ensuring appropriate access controls, licensing compliance, and alignment with legal, security, and business requirements prior to release. 

• Promote and cultivate a culture of data analytics, science, and AI within the firm, including leading talks and training sessions for both technology and business teams. 

• Conduct business analysis with various teams across the firm, focusing on our Real Estate business to drive efficient underwriting, asset, and portfolio management. This will also involve coordinating with a broader technology organization comprising product owners, application developers, and UX designers. 

Qualifications: 

• 3 years in a data analysis or data science role, with fluency in Python and SQL for interacting with data and data warehouses. 

• Experience working within a technology team for a financial firm, with a preference for alternative asset management and real estate. 

• Advanced analytical skills, including statistical analysis and data modeling techniques. 

• Experience with data governance, data quality, and data integration best practices. 

• Proficiency in developing within proper software development lifecycle tools, such as version control, CI/CD tools, and cloud deployment technologies. 

• Skilled in using Business Intelligence tools such as Tableau. 

• Strong communication skills, both verbal and written, including proven experience to communicate and relate to both business and technical coworkers, and to author documentation appropriate for the user community, development teams, and upper management. 

• Experience to clearly define project scope and manage and communicate scope changes. 

• Experience to manage multiple priorities and raise issues in a timely and productive fashion. 

• Bachelor’s degree in Computer Science, Engineering, Finance, or Economics. 

The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position.  Assignments, duties, and r