Join a leading global assurance, tax, transaction, and advisory services firm as a Forensics Data Analyst in New Delhi. This role offers a dynamic environment focused on building a better working world, fostering a culture of continuous learning, and providing opportunities for significant career growth. As part of the National Forensics Discovery team, you will help organizations protect and restore their reputation by investigating facts, resolving disputes, and managing regulatory challenges. This is an excellent opportunity to leverage your data analytics skills in a high-impact field.

As a global leader, we are dedicated to hiring and developing passionate individuals. Our culture emphasizes training, opportunities, and creative freedom, ensuring your career journey is fulfilling and supportive of your professional development. We believe in nurturing potential and offering motivating experiences to help you become your best professional self.

Extract and analyze large, complex datasets using advanced SQL across multiple databases and source systems. Profile, cleanse, transform, reconcile, and validate data to ensure reliability for investigations. Develop sophisticated SQL queries, conduct forensic analytics to identify fraud indicators and unusual patterns, and integrate data from various sources. Create dashboards and reports using visualization tools like Power BI, and meticulously document analytical logic, data lineage, and findings for a clear audit trail.

Key duties include: - Advanced SQL querying and optimization. - Data profiling and quality assurance. - Forensic data analysis for fraud detection. - Data integration from diverse systems. - Dashboard and report development. - Comprehensive documentation of analysis and findings.

We are seeking a Forensics Data Analyst with robust SQL and data analytics expertise. Essential qualifications include a Bachelor of Technology in Computer Science or a Master of Science in Data Science/Master of Computer Applications. A Certification in Data Analytics is also valued. Candidates should possess a minimum of 2 years of experience in Data Analysis and 3 years in Business Intelligence. Strong proficiency in SQL, relational databases, ETL processes, and data quality concepts is required. Familiarity with data visualization tools like Power BI and hands-on experience with high-volume transactional datasets are crucial. Experience with databases such as SQL Server, Oracle, PostgreSQL, or Snowflake is expected. An analytical mindset, coupled with proficiency in Excel, is necessary.

Key skills and attributes: - Excellent SQL skills for complex querying and performance tuning. - Solid understanding of database concepts, data models, and ETL. - Proven experience with high-volume data analysis. - Strong analytical and problem-solving abilities. - Proficiency in Excel and Power BI. - Familiarity with various database platforms. - Exposure to Python for data analysis is a plus.