The AA Consultant 2 role at EY involves providing data analytics services to clients, focusing on solving business problems and driving value through advanced data analysis techniques. The position requires working as part of a diverse team to implement integrated reporting solutions and enhance data management processes. Candidates will be expected to manage and motivate teams while maintaining long-term client relationships. This role emphasizes the importance of delivering quality client services and cultivating business development opportunities.

• Bachelor's degree in Economics, Engineering, Statistics, Mathematics, Computer Science, Physics or a related field and 5 years of relevant work experience, or a Master's degree with 4 years of experience.
• 3 years of experience in the financial services industry or managing teams in technology consulting.
• 4 years of experience developing statistical models.
• 3 years of experience in statistical modeling, data visualization, and predictive analysis using tools such as R, Python, Tableau, Qlikview, SAS, or Spotfire.
• 3 years of experience analyzing financial services business data issues related to operations, risk, finance, compliance, or process and controls.
• 1 year of experience leading a team to address financial services business data issues.

• Provide data analytics services to help clients solve business problems and gain insights from information.
• Use advanced data analysis techniques to process large volumes of data and perform complex computations.
• Support information intelligence, including the collection, storage, usage, and quality of information.
• Implement integrated enterprise-wide reporting solutions for data transformation and delivery.
• Manage and motivate teams with diverse skills and backgrounds to deliver quality client services.
• Cultivate business development opportunities and maintain long-term client relationships.

• Ernst & Young (EY) offers a comprehensive and competitive benefits package designed to support the well-being of its employees across various dimensions.