01Overview
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 management's 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. .
