Data Analyst, Associate - Private Equity and Real Estate Technology

Aplaro Ltd; New York (NY); On-site; USD 135,000 - 170,000; Full time

Job summary

Blackstone seeks a Data Analyst within the Real Estate and Private Equity technology team to build analytical tools supporting portfolio analysis and deal diligence. You will own end‑to‑end initiatives, bridging strategy and execution, and advance the firm's data platform through scalable Python/SQL solutions.

You will collaborate with technologists and product managers to deliver high‑quality analytics, automate recurring workflows, and promote data analytics, science, and AI practices across

Qualifications

• 3 years in a data analysis or data science role.
• Experience in a technology team within a financial firm, preference for alternative asset management/real estate.
• Advanced analytical skills including statistical analysis and data modeling.
• Experience with data governance, data quality, and data integration best practices.
• Skilled with Business Intelligence tools such as Tableau.
• Strong communication skills and ability to document for users, developers, and management.
• Bachelor’s or Master’s degree in a related field.

Responsibilities

• Lead intake and refinement of technology and data asks related to deal tracking, portfolio monitoring, and workflows.
• Identify opportunities for tooling, automation, or data flows to reduce manual work.
• Conduct business analysis and stakeholder sessions across teams to drive underwriting and asset/portfolio workflows.
• Coordinate with product owners, developers, and UX designers to deliver solutions.
• Document best practices and processes with global/regional teams.
• Develop and maintain analytical software solutions using Python and SQL.

Skills

Python

SQL

Tableau

Education

Bachelor or Master’s degree in Computer Science, Engineering, Finance, Economics, or related field

Tools

Git

Cloud deployment

CI/CD

Job description

Blackstone is the world’s largest alternative asset manager. Blackstone seeks to deliver compelling returns for institutional and individual investors by strengthening the companies in which the firm invests. Blackstone’s over $1.3 trillion in assets under management include global investment strategies focused on real estate, private equity, credit, infrastructure, life sciences, growth equity, secondaries and hedge funds. Further information is available at www.blackstone.com . Follow @blackstone on LinkedIn , X (Twitter) , and Instagram .

As a Data Analyst within the Real Estate and Private Equity technology team at BXTI, you will be instrumental in developing analytical tools that support our alternative asset management operations. You will be expected to solve real business challenges by bridging strategy and technology execution – owning complex initiatives from inception to delivery. You are equal parts problem solver and operator with an instinct for identifying what matters, a bias for action, and the resilience to see things through. 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 cross-functional team of technologists and product managers, you will ensure the delivery of high-quality solutions that add 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

• Lead intake and refinement of technology and data asks related to deal tracking, portfolio monitoring, and other workflows.
• Proactively identify opportunities for better tooling, automation, or data flows that increase adoption and reduce manual work.
• Conduct business analysis and stakeholder sessions with various teams across the firm, focusing on our Real Estate business to drive efficient underwriting, asset and portfolio management, and other workflows.
• This will also involve coordinating with a broader technology organization comprising product owners, application developers, and UX designers.
• Partner with global and regional teams to document best practices and processes.
• Champion sustainable ways of working—across intake, prioritization, delivery, and documentation.
• Develop and maintain analytical software solutions using Python and SQL, ensuring code quality, scalability, reliability, and security.
• 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.
• Collaborate with platform and engineering teams on deployment workflows; familiarity with version control (Git), CI/CD concepts, and cloud deployment technologies is a plus.

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.
• Skilled in using Business Intelligence tools such as Tableau.
• Strong communication skills, both verbal and written, including demonstrated effectiveness in communicating and relating to both business and technical coworkers, and authoring documentation appropriate for the user community, development teams, and upper management.
• Skilled at clearly defining project scope and managing and communicating scope changes.
• Adept at managing multiple priorities and raising issues in a timely and productive fashion.
• Bachelor's or Masters degree in Computer Science, Engineering, Finance, Economics, or other related field.

Preferred Skills

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

The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position. Assignments, duties, and responsibilities may be changed at any time, with or without notice, by Blackstone in its sole discretion.

Expected annual base salary range: $135,000 - $170,000 Actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, qualifications and job location. For roles located outside of the US, please disregard the posted salary bands as these roles will follow a separate compensation process based on local market comparables.

Additional compensation and benefits offered in