Join a leading global firm as a Forensics Data Analyst, contributing to critical investigations and risk management. This role offers a dynamic environment focused on building your career and professional growth. We champion a culture of continuous learning and provide ample opportunities to develop your expertise. EY is dedicated to fostering an inclusive workplace where you can achieve a healthy work-life balance while delivering exceptional client service.

Leverage advanced SQL to extract and analyze complex datasets for forensic investigations and fraud reviews. Perform data profiling, cleansing, and validation to ensure data integrity. Develop intricate SQL queries and optimize performance. Identify fraud indicators, unusual patterns, and control gaps through forensic analytics. Integrate data from diverse sources and create insightful dashboards using tools like Power BI. Document analytical processes and findings meticulously for audit trails.

Requires excellent SQL skills with expertise in complex querying and performance optimization. Strong understanding of relational databases, data models, and ETL processes is essential. Candidates should possess hands-on experience with high-volume transactional data analysis and a robust analytical mindset for pattern identification. Proficiency in Excel and Power BI is expected. Familiarity with databases such as SQL Server, Oracle, PostgreSQL, or Snowflake is beneficial. Experience with Python for data analysis and automation is a plus. A Bachelor of Technology in Computer Science, Master of Science in Data Science, Master of Computer Applications, or a Data Analytics certification is required, along with 2+ years in Data Analysis and 3+ years in Business Intelligence.