INTERNAL AUDIT DATA ANALYST | TRAFIGURA
Main purpose: As an Internal Audit Data Analyst within the Global Internal Audit & Analytics team, you will support the Internal Audit department by leveraging advanced data analytics to enhance audit quality, coverage, and insight. Working closely with auditors and business stakeholders, you will translate audit objectives into data requirements and deliver analytics that drive evidence-based assurance across the Trafigura Group. The role spans both data-driven audit analytics and technology risk and controls assessments, making a background in IT audit a valuable advantage.
KEY RESPONSIBILITIES
•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Design and implement data analytics methodologies, techniques, and tools that transform how the Internal Audit function approaches audit activities.
•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Provide data analytics support across audit engagements, including data sampling, testing, and analysis, delivering actionable insights that enhance audit effectiveness and efficiency.
•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Extract, transform, and integrate data from multiple source systems to meet audit requirements, ensuring data quality and integrity throughout.
•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Develop data visualisations, dashboards, and reports that clearly communicate audit findings and insights to stakeholders.
•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Implement continuous auditing and analytics techniques to strengthen ongoing assurance and drive process improvements.
•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Support IT audit engagements by assessing IT controls, system configurations, and technology-related risks, collaborating with IT audit specialists as required.
•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Continuously explore and evaluate emerging analytics tools, AI-powered solutions, and best practices to advance the capabilities of the Internal Audit function.
ATTRIBUTES FOR SUCCESS
•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Excellent writing, verbal, and presentation abilities in English.
•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Strong interpersonal capabilities - Effective collaboration and interaction with all organizational levels in diverse, global environments
•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Problem solver and critical thinker who can recognize opportunities for boosting efficiency and effectiveness.
•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Independent and flexible team player, with strong analytical skills.
•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Ownership and accountability in a fast-paced environment.
•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Strong attention to detail.
•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Firm, decisive, and focused approach.
DEPARTMENT OVERVIEW
The Internal Audit and Analytics department supports management across the Group in assessing the design effectiveness of processes, as well as relevant risks and controls for the governance, trading, IT and support processes. Results of these activities are reported to the Board of Directors and the Audit Committee, accompanied by action plans to improve process design, strengthen controls and further mitigate risks where required.
REQUIRED QUALIFICATIONS
•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Bachelor’s or Master’s degree in Data Analytics, Data Science, Business Analytics, Information Technology, Audit, Economics or Business Administration (focusing on data analytics).
•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Minimum 4-6 years of experience in data analytics, business intelligence, or a related area.
•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Proven experience in applying data analytics techniques to support audit or risk management activities.
•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Proficiency in data extraction, transformation, and analysis using SQL.
•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Proficient knowledge of data analytics methodologies, techniques, and tools (e.g., QlikSense, Tableau, Power BI).
•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Comfort working with AI technologies and familiarity with AI-powered tools (e.g., generative AI assistants, AI-driven analytics platforms), with a willingness to adopt and explore these in an audit context.
•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Demonstrated experience evaluating technology-related risks, including access management, change management, data governance, and third-party IT risk, is required.
•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Familiarity with IT audit frameworks and standards (e.g., COBIT, ISO 27001, NIST) and their application in an internal audit context is a significant advantage.
PREFERRED QUALIFICATIONS
•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Professional qualifications such as CIA, CISA, Certified Data Analyst (CDA), or Certified Analytics Professional (CAP) will be considered an asset.
