Internal Audit - Data Analyst

Responsibilities :

• Develop and maintain data pipelines and analytical datasets to support Internal Audit activities, including data extraction, transformation, validation, and analysis.
• Perform data analytics on structured and unstructured data to identify anomalies, unusual patterns, potential fraud indicators, policy violations, and emerging risks.
• Translate complex data analysis results into clear, actionable insights to support audit planning, risk assessment, and decision-making.
• Execute data-driven audit procedures by analyzing and testing audit evidence, identifying control weaknesses, anomalies, and potential risks, and translating findings into clear, practical audit recommendations.
• Validate audit findings and management action plans through data analysis and supporting evidence, and monitor remediation progress to ensure agreed actions are effectively implemented and risks are adequately addressed.

Requirements:

• Minimum 1–3 years of experience in Data Analytics, Business Intelligence, Data Analysis, or a related field.
• Strong SQL skills for data querying, joining, manipulation, and analysis. Experience with GoogleSQL, MySQL, or PostgreSQL is preferred.
• Proficiency in Python and/or R for data analysis, data manipulation, and basic automation. Experience with Pandas or similar data analysis libraries is a plus.
• Good understanding of data analytics concepts, including data modeling, data mining, data visualization, anomaly detection, and analytical problem-solving.
• Willing to work as Internal Audit, leveraging Data Analytics to conduct audit execution and risk assessment