Blackstoneposted 2 months ago
$125,000 - $200,000/Yr
Full-time • Mid Level
New York, NY
Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

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. BXTI is nimble and entrepreneurial - our open, iterative design processes and rapid pace of development means that everyone on the team has the opportunity to make an impact from day one. We are problem solvers who can take projects from idea to implementation. We believe in active mentoring and developing excellence. We collaborate to find the best answers for our customers and for Blackstone. We are critical to the firm maintaining its competitive edge. We are seeking an experienced Data Analyst within the Real Estate and Private Equity technology team at BXTI, responsible for 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 diverse 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).
  • Onboard new business-critical data sets and integrate them into the firmwide Blackstone data platform.
  • Generate analysis, data visualizations, and automated reporting to drive business initiatives.
  • 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.
  • Lead multiple projects, mentor and delegate tasks to junior members of the team, and collaborate effectively with other technology teams.

Requirements

  • 5+ years in a data analysis, data science or engineering 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/or 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 the ability to communicate to both business and technical coworkers, and to author documentation appropriate for the user community, development teams, and upper management.
  • Ability to clearly define project scope and manage and communicate scope changes.
  • Ability to manage multiple priorities and raise issues in a timely and productive fashion.
  • Bachelor's or Master's degree in Computer Science, Engineering, Finance, or Economics.

Benefits

  • Base salary range: $125,000 - $200,000
  • Additional compensation may be offered in connection with the role.
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