EY Consulting is dedicated to building a better working world by transforming businesses through innovative people, technology, and strategic approaches. Our client-focused methodology aims to deliver sustainable, long-term value by resolving complex strategic challenges. The consulting division encompasses Business Consulting (including Performance Improvement and Risk Consulting), Technology Consulting, and People Advisory Services.

We empower TMT (Technology, Media & Entertainment, and Telecommunications) organizations to navigate industry convergence, overcome competitive hurdles, and implement agile growth strategies. Our support extends to enhancing employee and customer experiences, retaining talent, and achieving operational excellence. We assist in protecting data, brands, and reputations, while also enabling M&A strategies that create value and reduce risk, positioning TMT companies as leaders in the future technology revolution.

Drive technical excellence in consulting engagements focused on business risk and process controls within TMT sectors. Analyze operational and risk data to pinpoint control gaps, streamline processes, and identify improvement areas. Develop structured analyses and provide data-driven insights to support robust consulting recommendations. Leverage SQL and Python for data extraction, transformation, and assessment in risk and control reviews.

Gain exposure to AI/ML concepts for enhanced analytics, automation, and risk-focused solutions. Lead teams of consultants to ensure the delivery of high-quality client work. Cultivate a collaborative approach to serving diverse client departments while adhering to commercial and legal requirements.

A Bachelor's degree in Computer Science (B.Tech/BCA), Mechanical Engineering (B.Tech), Electrical Engineering (B.E.), or Commerce (B.Com) is required. Advanced degrees such as Master of Computer Applications (MCA), Master of Technology (M.Tech), Master of Commerce (M.Com), Master of Science in Data Science (M.Sc), or Post Graduate Diploma in Management (PGDM) are also suitable. Certifications in Data Analytics are beneficial.

Possess at least 2 years of experience in Data Analysis, 3 years in Machine Learning, 6 years in Project Management, 3 years in Business Analysis, 3 years in Financial Analysis, and 3 years in Business Intelligence. A practical, agile, curious, and creative approach to problem-solving is essential, enabling the delivery of insightful and actionable solutions.