Role Overview

The Internal Auditor – Data Analytics is responsible for enhancing the internal audit function through advanced analytics, automation, and continuous auditing methodologies. The role leverages data science techniques to improve audit coverage, risk detection, and control effectiveness assessment.

This position strengthens assurance processes by integrating technology-driven audit tools and analytics platforms into the audit lifecycle.

Key Responsibilities

Data-Driven Audit Planning

The auditor will support risk-based audit planning by analyzing enterprise data to identify high-risk areas, anomalies, and control weaknesses.

Continuous Auditing and Monitoring

The role involves designing automated audit scripts, performing exception analysis, and developing dashboards that enable real-time monitoring of financial transactions, operational processes, and compliance adherence.

Fraud Detection and Forensic Analysis

The auditor will apply statistical analysis, data mining, and predictive analytics to detect irregular patterns, potential fraud indicators, and policy breaches.

• Support risk-based audit planning by analyzing enterprise data to identify high-risk areas, anomalies, and control weaknesses.
• Design automated audit scripts, perform exception analysis, and develop dashboards that enable real-time monitoring of financial transactions, operational processes, and compliance adherence.
• Apply statistical analysis, data mining, and predictive analytics to detect irregular patterns, potential fraud indicators, and policy breaches.

• Advanced analytics
• Automation
• Continuous auditing methodologies
• Data science techniques
• Statistical analysis
• Data mining
• Predictive analytics

• Experience in data analytics for internal audit
• Proficiency in data science techniques
• Experience with audit tools and analytics platforms