Business Analyst- Private Investments

About the job you are considering Capgemini Global Insights & Data business line is a market leader in the data, platform, and analytics across all regions and cross many sectors (including financial services, consumer products, manufacturing & life sciences). Our offerings include end-2-end data integration to cloud platform, complete suite of AI engineering capabilities and a category of sector-based advanced analytics / AI solutions. The Business Analyst will act as a liaison between business and technology teams, ensuring private investment requirements are accurately captured, validated, and translated into actionable delivery specifications. Role Overview: We are seeking a Business Analyst with expertise in private investments to define and document requirements related to private equity, direct investments, alternative assets, capital calls, distributions, valuations, and investment reporting. The ideal candidate will drive the analysis of private investment data sources, ensuring accurate interpretation of fund structures, ownership relationships, capital transactions, and valuation data. Key Responsibilities: • Collaborate with business stakeholders to define private investment requirements. • Document business processes, reporting needs, and data requirements. • Analyze fund, entity, valuation, ownership, and capital activity data. • Support data modeling and source-to-target mapping activities. • Identify and remediate data quality and reconciliation issues. • Develop business requirements, user stories, and functional documentation. • Facilitate UAT and ensure solution alignment with business needs. Skills & Experience • Proven experience delivering business analysis services within private equity, wealth management, fund administration, or financial services environments. • Strong expertise in private investment lifecycles, capital events, valuations, commitments, and performance analytics. • Skilled in translating complex business needs into detailed business and data requirements. • Experience supporting data migration, reconciliation, reporting modernization, and data platform transformation programs. • Strong collaboration skills across business, data, and technology teams. • Working knowledge of Snowflake, data warehousing, BI, and investment reporting platforms preferred. Why you should consider Capgemini Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is. About Capgemini Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion. Make it real | www.capgemini.com Show more Show less

Collaborate with business stakeholders to define private investment requirements. Document business processes, reporting needs, and data requirements. Analyze fund, entity, valuation, ownership, and capital activity data. Support data modeling and source-to-target mapping activities. Identify and remediate data quality and reconciliation issues. Develop business requirements, user stories, and functional documentation. Facilitate UAT and ensure solution alignment with business needs.