Data Management, AVP - People Analytics

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.

The People Analytics team is focused on providing the tools and data needed to help our partners in HR and Blackstone’s businesses make faster, more sustainable, more strategic, and more cost-effective decisions. This role will report directly to and work in partnership with the Senior Vice President of Data Management, collaborating with cross-functional teams to deliver innovative and impactful data solutions, including with the Reporting and Data Science teams.

Responsibilities:

Data Modeling & Management

• Design, develop, and maintain scalable SQL data models to support HR analytics and reporting needs.

• Create and optimize stored procedures for efficient data processing and retrieval.

• Ensure data integrity, security, and compliance with HR data governance standards.

ETL Development & Data Integration

• Build and maintain ETL pipelines using tools (Fivetran, DBT) to automate data ingestion and transformation processes.

• Collaborate with HR systems (Workday, Anaplan, 360) and IT teams to integrate data from multiple sources.

• Monitor and troubleshoot data pipelines to ensure high availability and performance.

Version Control & Collaboration

• Utilize GitLab and GitHub for version control, collaboration, and deployment of data solutions.

• Work within VS Code to develop and maintain clean, reusable, and efficient code.

Data Analysis & Reporting

• Partner with HR stakeholders to understand business needs and translate them into data solutions.

• Deliver actionable insights through dashboards, reports, and visualizations.

• Support workforce analytics and metrics, as well as other HR KPIs.

Best Practices & Continuous Improvement

• Stay updated on emerging trends and technologies in data management and analytics.

• Advocate for and implement best practices in data engineering, testing, and documentation.

Qualifications:

• 5+ years of experience in data management, data engineering, or a related field.

• Advanced proficiency in SQL, including data modeling, stored procedures, and query optimization.

• Hands-on experience with ETL tools (e.g., Fivetran, DBT) and data pipeline development.

• Strong knowledge of GitLab, GitHub, and version control workflows.

• Proficiency in data processing, automation, and analytics (Python experience preferred).

• Familiarity with VS Code or similar development environments.

• Strong problem-solving skills and attention to detail.

• Strong communication and collaboration skills to work with cross-functional teams.

• Effectively manages multiple priorities and delivers high-quality work under tight deadlines.

• Analytical mindset with a focus on delivering actionable insights.

• Proven experience in ensuring data accuracy, completeness, and integrity through rigorous validation techniques and quality assurance.

• Passion for leveraging data to drive business outcomes.

Preferred Qualifications

• Knowledge of data visualization tools (e.g., Tableau, Sigma Computing).

• Experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions.

• Understanding of HR metrics, compliance, and data privacy regulations.

• Experience working with HR data and systems (e.g., Workday, Anaplan).