Data Analytics and AI Specialist - Audit

Role & responsibilities:

The Audit Analytics Specialist will support the introduction, adoption, and effective use of data analytics and AI tools across Group Audit. Acting as a subject matter expert, this role will drive the rollout of audit analytics initiatives globally, enhance audit methodologies, and ensure consistent application across regions

Key Competencies & Skills required:

• Support the introduction, adoption, and effective use of data analytics and AI tools (e.g. Copilot, agentbased solutions) across Group Audit, acting as a subjectmatter expert and first point of contact for audit teams.
• Support the global coordination and rollout of audit analytics initiatives, supporting capability building and consistent application across regions.
• Support the testing, evaluation, and improvement of AI and analytics solutions, providing structured feedback to enhance accuracy, robustness, and audit relevance.
• Collaborate with crossfunctional stakeholders to integrate analytics and AI tools into existing systems, processes, and audit methodologies.
• Assist in design, development, and maintenance of data analytics solutions, including Power BI dashboards and reusable analytics scripts, to support audit planning, execution, and reporting.
• Support the application of advanced analytics during audit fieldwork, including data extraction, cleansing, and interpretation, to generate insights and increase audit efficiency and coverage.
• Support the monitoring developments in data analytics and AI relevant to internal audit and contribute to innovation and continuous improvement within Group Audit.

Technical:

• Strong background in data analytics and AI tools (e.g., Copilot, agent-based solutions).
• Hands-on experience with Power BI dashboards, reusable analytics scripts, and data processing.
• Knowledge of ETL/ELT workflows, data extraction, cleansing, and interpretation.
• Familiarity with advanced analytics techniques applied during audit fieldwork.
• Exposure to data visualization and reporting tools including dashboard design and data modelling
• Knowledge of / interest in natural language processing concepts and techniques.