AI Analytics Internal Auditor

Key Responsibilities

• Design, develop, and support AI models that enhance audit processes, risk assessment, and business decision-making.
• Identify business risks and develop analytics solutions to address control weaknesses and operational inefficiencies.
• Execute data analytics projects and audit engagements using advanced analytical techniques.
• Develop and maintain dashboards, visualisations, and reports that provide actionable business insights.
• Design, build, and optimise ETL processes and data models to support audit activities.
• Collaborate with audit teams and stakeholders to integrate analytics into audit methodologies.
• Provide technical guidance and mentorship to junior team members.
• Monitor and enhance the performance of analytics and AI solutions across the business.
• Document methodologies, processes, and analytical frameworks in line with governance requirements.
• Stay current with emerging AI, analytics, and business intelligence technologies to drive innovation.

Job Experience and Skills Required

• Matric (Grade 12).
• Degree in Commerce, Computer Science, Mathematics, Economics, Informatics, Statistics, Actuarial Science, or a related field.

• Minimum 6 years of professional experience.
• At least 3 years of experience as a Data Analyst or Business Data Analyst.
• Minimum 1 year of experience developing or implementing AI solutions.
• Experience within Internal Audit, Risk, Governance, or Assurance environments would be advantageous.
• Exposure to Insurance, Reinsurance, or Underwriting environments is highly beneficial.
• Demonstrated experience delivering analytics projects and business intelligence solutions.
• Strong project management skills with the ability to manage multiple priorities and deadlines.
• Proven ability to communicate complex technical findings to non-technical stakeholders.

• Advanced proficiency in Excel, SQL, Power BI, and DAX.
• Experience with data analytics and scripting tools such as Python, R, IDEA, or similar technologies.
• Strong knowledge of data analysis, ETL processes, data warehousing, and data visualisation.
• Experience developing dashboards, reports, and business intelligence solutions.
• Strong analytical, problem-solving, and critical-thinking skills.
• Ability to interpret large datasets and translate findings into business recommendations.
• Sound understanding of risk management, controls, and audit methodologies.
• Experience designing, testing, and implementing analytics solutions.