Embark on a career as a Senior Consultant in Forensics with EY, a global leader in assurance, tax, transaction, and advisory services. We foster a culture of continuous learning and development, offering unparalleled training, opportunities, and creative freedom to help you build your best professional self. Join our National Forensics team in Hyderabad, focusing on discovery and integrity services to protect and restore organizational reputations.

This role is part of the National practice, enabling you to gain diverse experience across various industries. Within the ASU - Forensics - Discovery unit, you'll help organizations navigate complex challenges, investigate facts, resolve disputes, and manage regulatory issues. We focus on safeguarding financial and brand reputations through enhancing governance, controls, culture, and data insights.

Leverage your proficiency in SQL to efficiently extract, transform, and analyze extensive investigative datasets. Develop impactful Power BI dashboards and reports to support forensic review and discovery analytics. Employ strong data interrogation techniques to pinpoint patterns, anomalies, and critical evidence. Work adeptly with both structured and unstructured data sources for comprehensive document review and discovery support. Apply consulting and analytical methodologies to deliver precise, data-driven forensic insights.

Demonstrate a practical, agile, and creative approach to problem-solving, delivering insightful and actionable solutions. Collaborate effectively with diverse client departments while adhering to commercial and legal mandates.

A Bachelor of Technology in Computer Science is required. You should possess at least 4 years of experience in Data Engineering and 2+ years in Data Analysis. Essential skills include proficiency in SQL for data extraction and analysis, expertise in developing Power BI dashboards, and a solid understanding of data interrogation techniques. Experience with structured and unstructured data for discovery support is crucial. The ideal candidate will be agile, curious, mindful, and adaptable, with a proven ability to work collaboratively and provide practical, insightful solutions to complex problems.