Specialist - Data Analytics (Corporate Audit)

Role Objective

The Data Analytics Specialist will support the Corporate Audit function by developing and executing data analytics solutions to enable risk-based audits, SOX compliance, fraud detection, continuous auditing, and ERM initiatives. The role will focus on leveraging analytics-related tools (e.g., IDEA, Alteryx, Azure) and SAP data to deliver actionable insights and scalable audit analytics.

Key Responsibilities

Audit Data Analytics & Automation

• Design, develop, and maintain models and/or workflows for audit analytics, fraud detection, SOX testing, and continuous auditing.
• Document the processes and procedures for models or workflows developed.
• Build, document, and maintain an inventory of audit analytics and use cases across business processes (e.g., P2P, O2C, Inventory, GL, etc.).
• Automate repetitive audit testing procedures to improve audit coverage and efficiency (e.g., test populations versus samples).
• Perform risk-based data analysis, including exception testing, trend analysis, and anomaly detection.

Risk Monitoring, Fraud & ERM Support

• Support fraud desk initiatives through advanced analytics and red flag identification using structured SAP data.
• Enable risk response monitoring aligned with ERM and Internal Audit priorities.
• Develop analytics to support managements proactive risk identification and control effectiveness assessment.

Technology & Data Enablement

• Work directly with SAP source data (e.g., FI, MM, SD, Inventory modules) and ensure accurate data extraction and transformation.
• Leverage Azure or similar data platforms for large-scale risk analysis and enterprise analytics.
• Address data sourcing limitations and improve data reliability for audit consumption.
• Act as a subject-matter expert for analytics tools (e.g., IDEA and Alteryx), including workflow optimization and complexity review.

Stakeholder Collaboration

• Partner with Internal Audit, Compliance, IT, Finance, and Supply Chain teams to understand risk areas and data availability.
• Provide clear visibility on analytics deliverables, scope, and outcomes to audit leadership.
• Support follow-up discussions with stakeholders on analytics-driven observations.

Governance & Capability Building

• Define standards and governance for audit analytics development and documentation.
• Review and validate complex models and workflows developed by the team to ensure quality and sustainability.
• Support training and mentoring of auditors on the use and interpretation of analytics.