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Business Analyst - Advanced Data Analytics

Remote, USA Full-time Posted 2026-06-06

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

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