Senior Analyst, Internal Audit - Data Scientist
Posted Apr 8, 2026
Key Responsibilities:
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Deliver advanced analytics to support the audit plan, including cycle audits, issue validation, remediation activities, and special projects. - Design and deploy analytic scripts and dashboards to communicate actionable insights to audit stakeholders. - Document analytic results and findings into audit workpapers. - Ensure the accuracy and integrity of data used in audit engagements through data transformation techniques. - Deploy automation on repetitive audit tasks using data analytics and data engineering techniques. - Collaborate with Internal Audit teams and remediation teams to understand audit test objectives, data requirements, and integrate data insights into action plans. - Lead projects from ideation to presentation of results and recommendations. Qualifications Required:
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Bachelor's degree in Engineering, Computer Science, Data Science, or related field with a minimum of 3 years of experience in writing and optimizing SQL/SAS queries in a business environment. In lieu of a degree, 5 years of relevant experience is required. - Knowledge of data warehouse technical architecture, ETL, and analytic tools. - Proficiency in coding with Python and experience with visualization software like Tableau or Power BI. - Familiarity with segmentation techniques, model development techniques, and data manipulation from multiple sources. - Strong communication, relationship building, collaboration, and project management skills. Key Responsibilities:
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Deliver advanced analytics to support the audit plan, including cycle audits, issue validation, remediation activities, and special projects. - Design and deploy analytic scripts and dashboards to communicate actionable insights to audit stakeholders. - Document analytic results and findings into audit workpapers. - Ensure the accuracy and integrity of data used in audit engagements through data transformation techniques. - Deploy automation on repetitive audit tasks using data analytics and data engineering techniques. - Collaborate with Internal Audit teams and remediation teams to understand audit test objectives, data requirements, and integrate data insights into action plans. - Lead projects from ideation to presentation of results and recommendations. Qualifications Required: