EY Strategy Execution & Operations (SE&O) seeks a Senior Analyst for FS Audit Intelligence, Analytics & Automation. This role is pivotal in driving data-driven governance, audit intelligence, and process digitization.

As a Senior Analyst, you will deliver actionable insights, market intelligence, and automated reporting solutions crucial for audit fee pricing, rotation strategies, market share analysis, and portfolio account governance.

Join EY to build a career that is as unique as you are, leveraging global scale, support, and an inclusive culture to achieve your best. Your contributions will help EY become even better and build a better working world for all.

Develop and maintain structured, scalable data solutions that adapt to business needs and future AI capabilities.

Apply leading-practice analytical approaches to assess audit fees, auditor rotations, market share, and related financial metrics.

Conduct market, regulatory, and auditor landscape research to validate data sources and methodologies, acting as a subject matter expert on external data providers.

Collaborate with business stakeholders to understand priorities, translate requirements into actionable deliverables, and ensure outputs align with GFS and Global Assurance objectives.

Work closely with internal teams to leverage existing knowledge, data, methodologies, and best practices to maximize the quality and impact of insights.

A Bachelor's or Master's degree in Business Administration, Information, or Data Science, coupled with 7-12 years of experience in professional services, particularly with applications and automation.

Possess a strong grasp of data analytics best practices and experience in solution development, specifically using Microsoft suite tools.

Demonstrate excellent communication and collaboration skills, enabling effective work with cross-functional teams.

Exhibit exceptional attention to detail, a quality-focused mindset, and a curious, investigative, and solution-oriented approach.

Be comfortable providing recommendations and evidence-based conclusions, as well as proposing new technology solutions and improvements for data management and insights.