About this role
About the Role The Internal Audit Data Analytics & Innovation Specialist enhances the effectiveness, efficiency, and risk coverage of Internal Audit by leveraging data analytics, automation, AI and emerging technologies. The role partners with audit teams, business stakeholders, and IT to design data-driven audit procedures, strengthen SOX compliance, and drive continuous improvement across a global manufacturing environment. What You'll Do
- Develop and execute data analytics procedures to support internal audits, including SOX testing, operational audits, and risk assessments
- Partner with audit teams to translate business risks into data-driven audit tests, identifying trends, anomalies, and control gaps
- Design, build, and maintain scalable analytical solutions, including dashboards, automated tools, and reporting (e.g., Power BI, SQL, Python, etc.)
- Design and implement automation and AI-driven solutions, including bots and RPA (Robotic process automation), to drive efficiency and enable continuous auditing
- Analyze large datasets from ERP systems (e.g., SAP, Databricks) and other platforms to assess process effectiveness, control compliance, and risk exposure
- Support audit planning through risk analytics, data profiling, and trend analysis
- Contribute to the development and enhancement of Internal Audit methodologies, standards, and best practices
- Ensure data quality, integrity, and proper documentation of analytical procedures and outputs
- Provide guidance and enablement to internal audit teams on data analytics tools, capabilities, and best practices What We're Looking For
- Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Accounting, Finance, or a related field
- 4+ years of experience in data analytics, business intelligence, or internal audit
- Experience working with large datasets and ERP systems (e.g., SAP, Databricks)
- Experience with data analytics tools and platforms