Join a global leader in assurance, tax, transaction, and advisory services. We foster a culture that provides extensive training, opportunities, and creative freedom, focusing on your professional growth. Our Forensics & Integrity Services team helps organizations protect their reputation by investigating facts, resolving disputes, and managing regulatory challenges. We aim to safeguard and restore financial and brand reputations through insightful services that build trust in capital markets.

As a Forensics Data Analyst, you will extract and analyze large datasets using advanced SQL to support investigations and identify anomalies. Key tasks include data profiling, cleansing, transformation, and validation. You will develop complex SQL queries, conduct forensic analytics to detect fraud and unusual patterns, integrate data from various sources, and create reports using visualization tools like Power BI. Maintaining detailed documentation of analytical processes and findings is crucial.

We seek candidates with excellent SQL skills, including complex querying and performance optimization, and a strong understanding of relational databases, data models, ETL, and data quality. Hands-on experience with high-volume transactional datasets and a strong analytical mindset are essential. Proficiency in Excel and familiarity with Power BI are required. Experience with Python for data analysis and automation is desirable. Familiarity with databases such as SQL Server, Oracle, PostgreSQL, or Snowflake is preferred. A Bachelor of Technology in Computer Science, Master of Science in Data Science, or Master of Computer Applications, along with a Certification in Data Analytics, is expected. Minimum 2 years of Data Analysis experience and 3 years of Business Intelligence experience are required.