As a Data Analyst within the Real Estate and Private Equity technology team at Blackstone, you will develop analytical tools to support alternative asset management operations. This role requires you to solve business challenges by bridging strategy and technology execution. You will collaborate with a cross-functional team to deliver high-quality solutions that add significant business value. Your focus will be on creating solutions for deal diligence and automating portfolio analysis.

• 3 years in a data analysis or data science role with fluency in Python and SQL.
• Experience working within a technology team for a financial firm, preferably in 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.
• Skilled in using Business Intelligence tools such as Sigma and Tableau.
• Strong communication skills, both verbal and written.
• Bachelor's or Master's degree in Computer Science, Engineering, Finance, Economics, or a related field.

• Lead intake and refinement of technology and data requests related to deal tracking and portfolio monitoring.
• Conduct business analysis and stakeholder sessions with various teams across the firm.
• Partner with global and regional teams to document best practices and processes.
• Develop and maintain analytical software solutions using Python and SQL.
• Manage the end-to-end lifecycle of data used in AI and analytics workflows.
• Promote and cultivate a culture of data analytics, science, and AI within the firm.
• Collaborate with platform and engineering teams on deployment workflows.

• Employees at Blackstone are often offered comprehensive and competitive benefits, including robust health and retirement plans, paid time off, and a range of quality-of-life programs such as wellbeing support and family planning resources.