Data Analyst

As a Data Analyst within the CAPO – Legal Entity Management team, you will play a critical role in ensuring legal entity data is accurately established, maintained, and reported across firmwide systems that support Global Alternatives. Based in Newark, Delaware, you will partner with a broad range of stakeholders across the Alternatives business and internal regulatory teams, operating at the intersection of operations execution, data quality, controls, and stakeholder management.

You will also contribute to special initiatives aligned to the Alternatives Data Strategy. This role is ideal for someone who takes ownership, enjoys problem-solving, and is motivated by continuous improvement—streamlining processes, reducing manual work through automation and smarter tooling, and delivering outcomes that are visible, measurable, and important to the business.

• Partner with multiple Alternatives business groups to drive end-to-end legal entity onboarding and ongoing maintenance across firmwide platforms, ensuring timely, accurate setup and updates that directly enable business activity.
• Own the intake, consolidation, and quality review of entity and financial data used in monthly, quarterly, and annual reporting, turning complex inputs into clean, decision-ready outputs.
• Prepare and submit periodic reporting packages to internal regulatory teams, partnering closely to meet firmwide requirements, controls, and tight deadlines.
• Maintain a strong control environment by producing clear documentation, audit-ready records, and consistent evidence management.
• Build and sustain relationships across a broad stakeholder set, including Alternatives LOB partners, operations, controllers, and internal regulatory groups, serving as a trusted point of coordination and execution.
• Leverage modern data, automation and AI-enabled tools to analyze complex datasets, streamline reporting and automate repeatable processes, improving accuracy and turnaround time.
• Apply AI-enabled tools and capabilities to modernize data management and reporting workflows, reduce manual effort, and improve transparency and traceability.
• Actively participate in continuous improvement efforts to enhance data quality, reporting processes, and controls, including identifying root causes, designing practical fixes, and driving adoption.
• Participate in special initiatives tied to the Alternatives Data Strategy, providing opportunities to influence how data is governed, standardized, and leveraged across the franchise.

• Bachelor’s degree or higher from an accredited institution.
• 2 or more years of relevant experience in financial services operations, with exposure to cross-functional stakeholders and business-critical workflows preferred.
• Proficiency with modern data and automation tools such as Python, SQL, Alteryx, Power BI, Power Automate, or similar technologies, with demonstrated ability to analyze data, automate processes, and reduce reliance on manual, spreadsheet-based workflows.
• Strong analytical and quantitative skills, with the ability to translate complex inputs into clear insights, actions, and high-quality outputs.
• Demonstrated problem-solving mindset, including the ability to identify root causes, propose practical process improvements, and drive changes through to implementation.
• Exceptional attention to detail and strong quality orientation, with comfort working in a controlled environment where accuracy and documentation matter.
• Clear, confident communicator (written and verbal), able to synthesize complex topics and influence outcomes across a broad range of partners.
• Proven ability to manage multiple priorities in a fast-paced, deadline-driven environment while maintaining strong execution discipline.
• Proactive, adaptable, and comfortable working independently, while also thriving in a collaborative team setting.

• Preferred: experience with legal entity management, regulatory reporting, and navigating complex ownership structures.
• Familiarity with AI concepts and hands-on experience using AI-enabled tools or platforms to improve data management, reporting, or operational workflows will be an added advantage.