Business Intelligence Analyst II

Job Purpose Summary

The Business Intelligence Analyst II, Corporate Audit Services (CAS), is responsible for supporting the Internal Audit function by leveraging data analytics and continuous monitoring to enhance audit efficiency, identify risks, and provide actionable insights for process improvements across the organization’s global operations. This role reports functionally to the Business Intelligence Senior and involves extracting, analyzing, and interpreting data to help audit teams evaluate financial and operational controls worldwide. Common tasks include planning and executing data analytics projects within audits, independently preparing audit documentation (data analysis workpapers, supporting evidence) and draft reports, and effectively communicating findings to Internal Audit leadership with minimal supervision.

Key Responsibilities and Accountabilities

General

• Communicate effectively with internal audit staff, leadership, and IT management across global operations through clear presentations, concise written reports, and strong interpersonal skills.

• Apply a strong understanding of internal audit principles and risk-based audit methodologies in daily responsibilities.

• Translate complex data insights into clear, actionable information for non-technical stakeholders.

• Prepare audit planning documentation, workpapers, supporting evidence, and draft audit reports or memos with minimal supervision.

• Coordinate and lead internal meetings with auditees and global process owners throughout all phases of the audit engagement.

• Ability to work on multiple tasks and manage priorities and workload effectively as part of an agile team.

Analytics & Technical Responsibilities

• Design and implement data-driven audit analytics programs to support risk assessment, risk-based auditing, and continuous monitoring efforts.

• Develop data models, reports, and dashboards to meet audit and business objectives.

• Analyze complex datasets to identify trends, anomalies, and inefficiencies, providing actionable insights to audit teams and senior management (e.g., highlighting potential control gaps or process improvements).

• Build and maintain advanced, repeatable dashboards using modern data visualization tools (with a strong emphasis on Microsoft Power BI) to effectively communicate key audit findings and risk indicators.

• Leverage Power BI Service capabilities for enterprise analytics deployment: publish and refresh datasets, manage dashboards in collaborative workspaces, implement row-level security, and share insights securely with authorized users across the organization.