Data Analytics and Automation:

• Develop and implement data analytics solutions to support audit processes, including risk assessment, control testing, and data analysis.

• Identify opportunities for automating audit procedures, tasks and design automated workflows and scripts to improve efficiency and consistency.

• Collaborate with auditors and subject matter experts to understand audit requirements and translate them into data analytics and automation solutions.

• Perform data extraction, transformation, and analysis using various data analytics tools and techniques, such as SQL, Python, or R.

• Develop and maintain data analytics models, scripts, and workflows to support continuous auditing and monitoring processes.

Audit Visualization and Reporting:

• Design and develop interactive dashboards, reports, and data visualization tools to communicate audit findings, risk assessments, and performance metrics effectively.

• Collaborate with auditors and stakeholders to understand their reporting and visualization requirements.

• Ensure data visualizations are accurate, insightful, and easy to interpret for various audiences.

• Continuously enhance data visualization and reporting capabilities to improve communication and understanding of audit results.

Continuous Auditing and Monitoring:

• Contribute to the design and implementation of continuous auditing and monitoring programs.

• Develop and maintain automated scripts, queries, and dashboards to enable real-time monitoring of key risk areas and control deficiencies.

• Collaborate with IT teams and business units to establish data sources, data governance frameworks, and automated reporting mechanisms.

Technical Guidance and Training:

• Provide technical guidance and support to auditors in utilizing data analytics tools, automation scripts, and visualization platforms.

• Develop and deliver training programs to enhance the data analytics and automation skills of the audit teams.

• Stay updated with emerging data analytics techniques, automation tools, and visualization best practices, and share knowledge with the team.

Stakeholder Collaboration:

• Work closely with IT teams, business units, and other relevant stakeholders to understand their data needs, processes, and reporting requirements.

• Foster effective communication and collaboration to ensure the successful implementation of data analytics, automation, and visualization initiatives within the audit function