Audit Data Analyst – Internal Audit

About the role

The Audit Data Analyst supports Internal Audit by developing and executing data analytics, automation solutions, dashboards, and AI-enabled audit procedures that enhance audit efficiency and expand audit coverage. The role works closely with auditors and business stakeholders to deliver data‑driven assurance activities and continuous improvement initiatives.

Key responsibilities

• Develop and execute analytics for SOX & Ops audits.
• Perform data extraction, transformation, cleansing, validation, and reconciliation activities.
• Analyze large and complex datasets to identify trends, anomalies, control gaps, and risk indicators.
• Translate audit objectives into analytical testing procedures.
• Document methodologies, assumptions, and testing results in accordance with Internal Audit standards.
• Ensure data integrity and accuracy of analytics outputs.
• Maintain appropriate documentation and audit trails.
• Develop reusable workflows, scripts, and automation solutions that improve audit efficiency.
• Identify opportunities to automate manual audit procedures.
• Contribute to AI‑enabled audit use cases and proof‑of‑concept initiatives.
• Build effective working relationships with process owners, IT teams, and auditors.
• Support audit teams in interpreting analytical results and developing clear, actionable audit observations.

Required profile

• Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Statistics, Accounting, Finance, Engineering, or a related field.
• 2‑4 years of experience in Data Analytics, Business Intelligence, Internal Audit, Risk Management, Finance Analytics, or a related field.
• Experience working with large datasets from multiple business systems.
• Exposure to internal controls, compliance, audit, or finance processes (preferred).
• Experience with Alteryx, Python, or other analytics and automation tools.
• Experience with data visualization tools such as Power BI or Tableau.
• Advanced Microsoft Excel skills and knowledge of data cleansing, transformation, and validation techniques.
• Understanding of SOX controls, internal audit methodologies, or risk management practices.
• Proficiency in SQL and data‑querying techniques.
• Familiarity with ERP systems such as Oracle.

Required skills

• Alteryx
• Python
• Power BI
• Tableau
• Microsoft Excel
• SQL
• Oracle ERP