Job Purpose:

The Audit Analytics Assistant Manager is responsible for driving the adoption of data analytics, automation, and continuous auditing methodologies within the Group's audit function. This role plays a critical part in developing and implementing data-driven audit approaches, leveraging advanced analytics techniques, automation tools, and visualization platforms to enhance audit efficiency, effectiveness, and risk coverage.

Job Responsibilities:

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

Qualifications

• Bachelor’s degree in quantitative fields such as computer science, statistics, mathematics, or a related discipline. Advanced degree(s) preferred.
• Professional certifications in data analytics, audit automation, or data visualization are desirable
• Minimum of 5 years of experience in:
  • data analytics
  • audit automation
  • continuous auditing
  • or related roles.
• Proficiency in data analytics languages (e.g., SQL, Python, R) and visualization tools (e.g., Power BI, Tableau, QlikView).
• Proficient in the use of Audit analytics tools such as Alteryx, IDEA, ACL etc.
• Familiarity with audit methodologies, processes, and industry best practices.
• Excellent analytical and problem-solving skills, with the ability to translate business requirements into data-driven solutions.
• Strong communication skills, both written and verbal, for effective reporting, training, and collaboration with stakeholders.
• Ability to work in a team environment and collaborate with cross-functional teams.
• Willingness to travel domestically and internationally as required.
• Results orientation
• High integrity and strength of character

• 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.
• 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.
• 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.
• 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.
• 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

• Proficiency in data analytics languages (e.g., SQL, Python, R)
• Proficiency in visualization tools (e.g., Power BI, Tableau, QlikView)
• Proficient in the use of Audit analytics tools such as Alteryx, IDEA, ACL etc.
• Excellent analytical and problem-solving skills
• Strong communication skills, both written and verbal
• Ability to work in a team environment and collaborate with cross-functional teams

• Bachelor’s degree in quantitative fields such as computer science, statistics, mathematics, or a related discipline. Advanced degree(s) preferred.
• Professional certifications in data analytics, audit automation, or data visualization are desirable
• Familiarity with audit methodologies, processes, and industry best practices.