Internal Audit Data Analyst

Internal Audit Services_Advisory_- PAN India

Experience in Internal Audit / Process Audit concepts and methodology.

Understanding of Processes, Sub-processes, and Activities and their inter-relationship.

Proficiency in MS Office applications.

Experience in Sarbanes Oxley Act (SOX) / IFC Reviews and SOP documentation.

Strong understanding of Internal Control concepts, including Preventive Controls, Detective Controls, Risk Assessment, and Anti-fraud Controls.

Perform risk-based audits and assess the design and operating effectiveness of internal controls.

Assist in the timely completion of audit engagements, client deliverables, and status reporting.

Collaborate with stakeholders to evaluate complex assessment issues and develop practical recommendations.

Document audit findings and propose recommendations that address root causes and organizational impact.

Leverage data analytics techniques to enhance audit effectiveness, identify anomalies, trends, control gaps, and process improvement opportunities

• Experience in Internal Audit / Process Audit concepts and methodology.
• Knowledge of Processes, Sub-processes, Activities, and associated risks and controls.
• Hands-on experience in Sarbanes Oxley Act (SOX) reviews and Internal Financial Controls (IFC).
• Strong understanding of Internal Control concepts, including Preventive Controls, Detective Controls, Risk Assessment, and Anti-fraud Controls.
• Familiarity with IT Systems, ERP environments, and business process controls.
• Understanding of applicable regulations and common laws (e.g., Companies Act, Income Tax regulations, and other relevant statutory requirements).
• Comfortable working as an Individual Contributor (IC) or leading a team of Associates/Specialists.
• Strong stakeholder management and collaboration skills.
• Ability to analyze issues, identify root causes, and recommend actionable solutions.
• Experience in developing client deliverables and managing engagement timelines.
• Experience working with GRC/APM tools and methodologies.
• Candidate should have hands-on experience in data analytics using tools/technologies such as Power BI, Power Query, SQL, Python, R, and ACL.
• Experience in creating dashboards, performing data extraction, transformation and analysis, and applying analytics to support audit testing and continuous monitoring.