Job Description Summary :
Responsible for developing and implementing data-driven audit solutions to enhance the effectiveness, accuracy, and efficiency of the internal audit function. The position focuses on building analytical systems, automating data pipelines, and applying advanced analysis to detect risks, anomalies, fraud, and process inefficiencies across the organization. The role works closely with the audit team, IT, and data owners to ensure reliable data governance and to enable continuous auditing through technology and analytics.
Job Description :
Develop data analysis systems and dashboards based on the company’s database.
Design multi-source data integration pipelines.
Automate ETL processes to support digital audit activities.
Analyze operational, financial, and other datasets to detect patterns and irregularities.
Develop analytical models to identify potential fraud and inefficiencies.
Provide data-driven insights for high-risk areas.
Design continuous auditing and monitoring systems for key business areas.
Define data-based risk indicators and ensure they are updated regularly.
Deliver automated alerts for potential anomalies.
Prepare evidence-based analytical reports and dashboards.
Present analysis results visually to support audit decision-making.
Coordinate with audit teams, IT, and data owners for data validation and accuracy.
Provide training on the use of analytical tools and continuous auditing methodologies.
Support the digital transformation of the internal audit function.
Job Requirements :
Min. Bachelor Degree in Computer Science/Information Technology, Engineering (Computer/Telecommunication), Agronomy or related field from reputable University.
At least 3+ years experience in data analyst, and/or AI/ML Specialist
Skilled in data analysis - proficient in data analysist tools, python, UIPath and visualization is a plus
Preferably having knowledge and experience in palm oil industry, especially in plantation
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