Internal Audit Data Analyst

Main Purpose:

As an Internal Audit Data Analyst, you will be part of the Audit Analytics team within the Internal Audit department, supporting audit activities through advanced data analytics. You will work closely with the Internal Audit team and business collaborators to understand audit objectives, data requirements, and analytical needs.

Your role will involve:
• Designing and implementing data analytics methodologies, techniques, and tools to support audit activities.
• Providing data-driven insights to enhance the effectiveness and efficiency of audit processes.
• Continuously exploring and evaluating new data analytics tools, techniques, and best practices to strengthen the Internal Audit function’s capabilities.

Knowledge Skills and Abilities, Key Responsibilities:

Mandatory

• Bachelor’s or master’s degree in data Analytics, Data Science, Business Analytics, Audit, Economics, or Business Administration (with a concentration in data analytics or quantitative methods).
• Minimum 5–8 years of experience in data analytics, business intelligence, or a related field.
• Proven experience in applying data analytics techniques to support audit or risk management activities.
• Proficiency in data extraction, transformation, and analysis using SQL.
• Solid understanding of data analytics methodologies, techniques, and tools (e.g., QlikSense, Tableau, Power BI).
• Professional qualifications such as CIA, CISA, Certified Data Analyst (CDA), Certified Analytics Professional (CAP), or Microsoft Power BI Data Analyst Associate (or equivalent) will be considered an asset.

Desirable

• Excellent writing, verbal, and presentation skills in English.
• Good interpersonal skills, with the ability to engage and collaborate across various levels of the organization and within a multicultural environment.
• Critical thinker with the ability to identify solutions to improve efficiency and effectiveness.
• Independent and flexible teammate, with strong analytical skills.
• Ownership and accountability in a fast-paced environment.
• Good attention to detail.
• Firm, conclusive, and decisive approach.

Key Responsibilities   

• Provide data analytics support during audit engagements, including data sampling, testing, and analysis.
• Develop data visualizations, dashboards, and reports to effectively communicate audit findings and insights.
• Implement continuous monitoring and data analytics techniques to enhance audit activities and process improvements.
• Extract, transform, and integrate data from different sources for audit purposes, ensuring data quality and integrity.

Key Relationships and Department Overview:

• Internal Audit Team
• Business Stakeholders