Join a global leader in professional services, EY, dedicated to building a better working world. We cultivate a culture of continuous learning and career growth, empowering you to become your best professional self. This Senior Consultant role within the National Forensics Discovery team in Hyderabad focuses on leveraging data analytics to support critical forensic investigations and compliance initiatives. Protect and restore enterprise reputation by investigating facts, resolving disputes, and managing regulatory challenges. We integrate data insights to safeguard financial and brand reputations, building trust in global markets.

As a Forensics Data Analyst, you will be instrumental in extracting, transforming, validating, and analyzing vast datasets to uncover anomalies, suspicious patterns, and control weaknesses. Key duties include: - Crafting advanced SQL queries for data extraction and analysis across diverse databases. - Performing data profiling, cleansing, and validation to ensure reliable investigative datasets. - Identifying fraud indicators, unusual transactions, and behavioral patterns through forensic analytics. - Integrating data from various sources, including ERP systems and flat files. - Developing insightful dashboards and reports using visualization tools like Power BI. - Meticulously documenting analytical processes, data lineage, and findings for audit purposes.

To excel in this role, you should possess: - Strong proficiency in SQL, including complex querying and performance optimization. - A solid understanding of relational databases, data models, ETL processes, and data quality principles. - Hands-on experience with high-volume transactional data analysis. - An analytical mindset capable of identifying complex patterns and exceptions. - Proficiency in Excel and a strong advantage with Power BI. - A Bachelor of Technology in Computer Science or Bachelor of Computer Applications is required. A Master of Engineering in Electronics, Master of Science in Data Science, Master of Computer Applications, or a Data Analytics Certification is also highly valued. - A minimum of 2 years in Data Analysis is essential, with 3+ years in Machine Learning and Business Intelligence being advantageous.