Senior Interna Auditor - Data Analytics

The role delivers complex, high-risk internal audits across the organisation, with a particular focus on data analytics and continuous assurance. It is responsible for providing the Audit Committee, Board and executive management with independent and objective assurance on the adequacy and effectiveness of governance, risk management and internal control frameworks.

The role exists to move the internal audit function from sample-based, retrospective testing towards full-population, evidence-rich and continuous auditing. The role sets the analytics methodology for approval by the Head of Internal Audit, build and maintain the reusable analytics library, automate repetitive audit procedures and raise the analytical literacy of the wider audit team so that analytics becomes a default part of how everyday audits are planned, executed and reported.

The role consistently applies the internal audit methodology and quality requirements in line with the Global Internal Audit Standards (GIAS), while upholding the highest standards of professional ethics and integrity.

Key responsibilities:

• Data analytics leadership and capability building
• Audit planning and risk assessment
• Audit execution and fieldwork
• Continuous auditing, monitoring and automation
• Reporting, insight and stakeholder engagement
• Governance, quality and professional practice

Requirements

• Matric / Grade 12 / National Senior Certificate
• A completed Bachelor's degree, or equivalent NQF Level 7 qualification, in Internal Auditing,Accounting, Finance, Information Systems, Statistics, Data Science, Mathematics or ActuarialScience.
• A recognised professional designation: CIA, CISA or equivalent will be beneficial.
• Demonstrable formal training in data analytics, through either a completed qualification, a certification or substantive documented practical experience.
• Experience using computer-assisted audit techniques (CAATs).
• Demonstrable experience designing and executing data analytics within an audit, risk, forensic or control assurance context, rather than consuming reports produced by others.
• Experience designing and operating continuous auditing or continuous monitoring routines in production.