Robert Half
Job Description
Job Description
We are looking for a skilled Internal Audit Data Analyst to join our team in Johns Creek, Georgia. This Contract-to-permanent position offers an exciting opportunity to leverage advanced data analytics and visualization techniques to enhance internal audit processes and enterprise risk management. The ideal candidate will play a pivotal role in identifying risks, improving audit methodologies, and providing actionable insights to support organizational decision-making.
Responsibilities:
• Collaborate with audit teams to identify opportunities where data analytics can enhance financial, operational, and compliance audits.
• Plan, execute, and report corporate audits while adhering to Global Internal Audit Standards.
• Design and implement advanced data analytics procedures to detect anomalies and assess risks or opportunities.
• Extract, clean, transform, and analyze data from multiple systems using tools such as Alteryx, Power BI, and Excel Power Query.
• Utilize programming skills in Python and SQL to develop automated workflows and continuous monitoring processes.
• Create dashboards and visualizations to effectively communicate audit findings and insights to stakeholders.
• Assist in risk assessments and provide actionable recommendations based on trends, risks, and analytics.
• Identify patterns indicating control weaknesses, inefficiencies, or potential fraud and propose enhancements to audit methodologies.
• Integrate audit principles and enterprise risk management frameworks into analytics design and execution.• Bachelor’s degree in business, accounting, finance, data science, information systems, or a related field.
• At least 5 years of experience in data analytics or a related field, preferably within public accounting or internal audit.
• Proficiency with data analytics and visualization tools, including Alteryx, Power BI, and Excel Power Query.
• Strong programming skills in Python and SQL for data extraction, transformation, and analysis.
• Solid understanding of audit principles, enterprise risk management, and Global Internal Audit Standards.
• Relevant certifications in audit or data analytics tools are preferred.
• Exceptional analytical and organizational skills, with the ability to manage multiple projects simultaneously.
• Excellent verbal and written communication skills to convey complex data insights clearly to stakeholders.
Responsibilities:
• Collaborate with audit teams to identify opportunities where data analytics can enhance financial, operational, and compliance audits.
• Plan, execute, and report corporate audits while adhering to Global Internal Audit Standards.
• Design and implement advanced data analytics procedures to detect anomalies and assess risks or opportunities.
• Extract, clean, transform, and analyze data from multiple systems using tools such as Alteryx, Power BI, and Excel Power Query.
• Utilize programming skills in Python and SQL to develop automated workflows and continuous monitoring processes.
• Create dashboards and visualizations to effectively communicate audit findings and insights to stakeholders.
• Assist in risk assessments and provide actionable recommendations based on trends, risks, and analytics.
• Identify patterns indicating control weaknesses, inefficiencies, or potential fraud and propose enhancements to audit methodologies.
• Integrate audit principles and enterprise risk management frameworks into analytics design and execution.• Bachelor’s degree in business, accounting, finance, data science, information systems, or a related field.
• At least 5 years of experience in data analytics or a related field, preferably within public accounting or internal audit.
• Proficiency with data analytics and visualization tools, including Alteryx, Power BI, and Excel Power Query.
• Strong programming skills in Python and SQL for data extraction, transformation, and analysis.
• Solid understanding of audit principles, enterprise risk management, and Global Internal Audit Standards.
• Relevant certifications in audit or data analytics tools are preferred.
• Exceptional analytical and organizational skills, with the ability to manage multiple projects simultaneously.
• Excellent verbal and written communication skills to convey complex data insights clearly to stakeholders.