Join a leading global professional services organization as a Senior Consultant in Forensics, specializing in Discovery. This role is part of a dynamic national team, offering exposure across various industries. You will play a crucial role in safeguarding and restoring client reputations by assisting in forensic investigations, fraud reviews, compliance assessments, and risk analytics.

We are dedicated to fostering a culture that supports your growth, providing ample training, opportunities, and the creative freedom to excel. At EY, we believe in empowering you to build your career, with limitless potential and motivating experiences to help you achieve your professional best.

As a Forensics Data Analyst, your primary responsibilities will involve extracting, transforming, validating, and analyzing large and complex datasets to identify critical insights.

Key duties include: - Performing advanced SQL queries across multiple databases to uncover anomalies and suspicious patterns. - Conducting data profiling, cleansing, and transformation to ensure data reliability for investigations. - Developing sophisticated SQL queries, optimizing performance, and utilizing features like CTEs and window functions. - Identifying fraud indicators, unusual transactions, and behavioral patterns through forensic analytics. - Integrating and reconciling data from diverse sources, including ERP systems and databases. - Documenting analytical processes, data lineage, and findings for a comprehensive audit trail.

To excel in this role, you should possess strong SQL skills with expertise in complex querying and performance optimization, alongside a solid understanding of relational databases, data models, and ETL processes.

Essential qualifications and experience include: - A Bachelor of Technology in Computer Science or a Bachelor of Computer Applications. - Minimum of 2 years of experience in Data Analysis. - Hands-on experience analyzing high-volume transactional datasets and a strong analytical mindset. - Proficiency in Microsoft Excel and Power BI is required. - Familiarity with databases such as SQL Server, Oracle, PostgreSQL, or Snowflake is beneficial. - Exposure to Python for data analysis and automation is a plus.