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Posted Mar 30, 2026

Business Analyst - Advanced Data Analytics

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About the position Business Analyst (Contract) – Advanced Data Analytics Location: New York, NY (hybrid/in-office at least 3 days per week) Our client is a leading independent financial advisory firm serving boards, management teams, and shareholders on major strategic decisions. It also provides capital-raising, equity services, and wealth management through a global office network. Responsibilities • Gather, analyze, and translate business needs into clear requirements for AI, ML, and analytics products • Act as the bridge between technical teams and front-office stakeholders to keep delivery aligned • Own UAT planning and execution, including test plans, issue triage, and closure • Manage and maintain the firm's data demand intake pipeline and demand register • Track and communicate demand status, data readiness, and support governance efforts as needed Requirements • 5+ years as a Business Analyst on complex cross-functional initiatives in financial services • Front-office exposure in investment banking, capital markets, private equity, venture capital, or hedge funds • Experience supporting AI, ML, or data science products • Strong requirements gathering and stakeholder management skills • Ability to lead UAT planning, testing coordination, issue triage, and resolution • Strong communication skills across technical teams, bankers, and senior executives • Proactive, independent, and solutions-oriented approach in fast-moving environments • Ability to assess product usability and provide actionable UX feedback • Familiarity with generative AI tools and practical use cases • Business requirements elicitation and documentation • Stakeholder management across business and technical teams • UAT planning, coordination, and issue resolution • Communication and presentation skills across multiple seniority levels • Analytical thinking with a proactive, ownership-driven mindset Nice-to-haves • Experience with enterprise data platforms, lakehouses, BI modernization, or data governance • Familiarity with Databricks or similar cloud data platforms • Experience with BI/data visualization tools such as Power BI, Tableau, or Qlik • Ability to analyze data using SQL or Python