Internal Auditor - Data Analytics (Senior Specialist)

• Secure access to data warehouses and other relevant data sources.
• Manage secure data transfers from business units.
• Create and maintain data dictionaries and reusable datasets for audit use.
• Clean, transform, and prepare data for audit testing.
• Build and maintain reusable, automated audit analytics programs.
• Develop sustainable analytics models, scripts, and dashboards to support audit execution.
• Collaborate with audit teams to design and implement complex, insightful analytics tests.
• Ensure compliance with data security and transfer protocols.

• Contribute to the execution of strategic analytics initiatives within Internal Audit.
• Identify opportunities to embed analytics into audit planning, fieldwork, and reporting.
• Develop and implement data-driven business monitoring programs.
• Research and evaluate emerging analytics tools and techniques relevant to audit.

• Build strong relationships with data owners, business MI teams, and audit stakeholders.
• Act as a trusted advisor to audit teams on analytics opportunities and best practices.
• Provide training and mentorship to auditors on basic analytics techniques.
• Communicate progress and insights to Data Analytics Manager and Head of Department.

• Stay current with developments in data analytics, audit, and regulatory trends.
• Share knowledge and tools with peers across Internal Audit.
• Attend relevant conferences and training sessions to enhance skills and awareness.

• Apply analytics across the audit lifecycle: risk assessment, control testing, and outcomes analysis.
• Proactively identify opportunities to improve audit processes through analytics.
• Take initiative on additional tasks and projects that enhance audit value.

• Bachelor’s degree in Informatics, Statistics, Computer Science, Actuarial Science, or a related field.
• Minimum of 5 years’ hands-on experience in data analytics, with a strong focus on coding-based tools.
• Proven experience in SQL and Python is essential.
• Proficiency in Excel and Power BI is expected, but not as primary tools.
• Familiarity with ACL, SAS, or R is advantageous.
• Experience developing analytics in support of risk, controls, or audit functions.
• Exposure to financial services or regulated industries is preferred.
• Relevant certifications (e.g., SAS, SQL, Python, data mining, machine learning) are advantageous.

• Strong understanding of relational databases and data warehousing.
• Experience developing dashboards and visualizations for audit or risk insights.
• Ability to work independently and manage multiple priorities.
• Strong communication and stakeholder engagement skills.
• Demonstrated ability to influence and collaborate with senior stakeholders.
• Comfortable working in a dynamic, agile environment.

• Have deep technical skills and enjoy solving business problems through data.
• Are passionate about using analytics to improve audit effectiveness.
• Want to grow your career within Internal Audit, not just data science.
• Are proactive, self-driven, and comfortable with ambiguity.
• Enjoy working with both technical and non-technical stakeholders.

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