Join our Forensic & Financial Crime team in Mumbai as a Senior Executive, Analytics, EAD Ops. You will play a pivotal role in supporting complex investigative projects by leveraging data extraction, lineage, analysis, and visualization techniques. This is an opportunity to ensure data integrity and deliver actionable insights within the Risk Regulatory & Forensic Practice.

At Deloitte, we foster innovation and leadership. Our team is dedicated to helping clients navigate their most challenging issues, providing strategic and technological solutions to help them excel in their competitive markets. We are looking for driven individuals to contribute to our dynamic environment.

Lead critical data analytics and data lineage workstreams for investigative projects, ensuring robust methodologies and high-quality data. Translate intricate business and investigative needs into precise data and analytical requirements. Design efficient data extraction, transformation, and analytical approaches.

Perform advanced data profiling, reconciliation, and root-cause analysis. Identify data discrepancies and propose effective remediation strategies. Develop sophisticated SQL queries and analytical models. Create compelling dashboards and analytical solutions for stakeholder consumption.

Review source-to-target mappings, data lineage documentation, and data quality assessments. Oversee analytical outputs generated by junior team members, providing guidance and feedback. Proactively resolve issues with data owners, technology teams, and business stakeholders. Support investigative teams in interpreting complex analytical findings. Drive automation and process improvement initiatives. Contribute to proposal development, solution design, estimations, and client presentations. Mentor and develop junior analysts within the team.

We are seeking a Senior Executive with 3 to 6 years of experience in data analytics, specifically within investigative contexts. A bachelor's degree is required.

Proficiency in advanced SQL and Python is essential. Experience with data visualization tools like Power BI or Tableau is expected. Familiarity with enterprise data and analytics platforms, cloud data platforms, and data governance/lineage tools is advantageous.

Solid understanding of investigative analytics, fraud detection, and financial crime concepts (including AML/FCC) is crucial. Experience with data strategy, governance, and the investigation lifecycle is highly valued. Familiarity with advanced analytics, statistical tools, and AI/ML concepts is a plus.