Senior Data Analytics - Internal Auditor
Role details
Job location
Tech stack
Job description
· Lead the Internal Audit data analytics function, serving as the primary point of expertise for data analytics, automation, AI-enabled solutions, and continuous auditing within the department.
· Apply a data-driven mindset to build, enhance, and execute Internal Audit data solutions that deliver advanced audit capabilities, including automation, continuous auditing, and data analytics.
· Lead and oversee data analytics initiatives supporting audit, SOX, and risk projects, leveraging advanced analytical techniques to enhance audit procedures, expand coverage, and identify risks.
· Design and execute data-driven testing of key controls across in-scope processes, systems, and programs, elevating levels of assurance, consistency, and audit efficiency.
· Develop and implement AI-enabled and advanced analytics solutions using available tools to support audit teams and audit operations.
· Drive automation across audit, SOX, and risk activities, unlocking efficiencies and improving the quality and scalability of testing and analysis.
· Develop and enhance continuous auditing capabilities, including dashboards and monitoring solutions that provide timely control and business insights to support management action.
· Serve as a data champion within Internal Audit by elevating awareness of appropriate, effective, and responsible uses of data in assurance and advisory work.
· Collaborate closely with audit teams to integrate analytics into audit planning, execution, and reporting activities.
· Build and maintain strong relationships with key data leaders, system owners, and data custodians to enable timely and reliable access to data required for audit and risk initiatives.
· Leverage enterprise systems such as Workday, JD Edwards (JDE), Salesforce, and other core platforms as key data sources to support audit analytics, continuous auditing, and data-driven control testing.
· Use existing data sources and structures to provide more quantitative, evidence-based assessments of key risks, controls, and audit conclusions.
Requirements
· 5+ years of progressively responsible experience applying advanced data analytics, automation, and data-driven control testing within Internal Audit, SOX, compliance, and/or enterprise risk environments.
· Bachelor's degree or equivalent in Computer Science, Data Science, Management Information Systems, Accounting, Finance, or a related field.
· Proven track record of delivering audit and risk solutions through the application of data analytics, scripting, and programming skills (e.g., Python, R, SQL) and relevant analytics platforms.
· Strong experience across the full data analytics lifecycle, including data acquisition, cleansing, transformation, analysis, and reporting.
· Experience designing and delivering continuous auditing capabilities, dashboards, and monitoring solutions that provide reliable, timely performance metrics and actionable insights.
· Experience working with enterprise platforms such as Workday, JD Edwards (JDE), Salesforce, and similar systems, including extracting, analyzing, and validating data for audit and risk purposes.
Benefits & conditions
The salary range for this position is $100,000-$121,000 plus bonus, and it comes with benefits, including medical, vision, dental, life, and disability insurance. To apply to this remote role please send your resume to john.sadofsky@roberthalf.c0m.
Fast-Track Career Advancement Opportunity (This position is expected to advance quickly within the company over the next few months.)