Sr. Analyst, Audit Analytics & Automation

Audit Analytics Delivery

Support the integration and delivery of analytics across the audit lifecycle, including planning, risk assessment, testing, continuous monitoring, and investigations.

Design and execute advanced analytics that expand audit coverage beyond traditional sample-based testing through broader population-based review and targeted identification of trends, anomalies, and control exceptions.

Analyze complex datasets from enterprise systems, including SAP, POS, and Manhattan WMS, to identify anomalies, trends, control weaknesses, emerging risks, and opportunities for enhanced audit insight.

Support audit planning and execution by identifying opportunities for continuous auditing or enhanced monitoring.

Strategic and Complex Audits

Lead, co-lead, or support complex, high-risk, or ambiguous audits and investigations requiring advanced judgment and analytical depth.

Assess analytics approaches for completeness, accuracy, and relevance, and communicate assumptions, limitations, and risks clearly to audit teams and leadership.

Identify and deliver digital solutions that address key business challenges and provide meaningful insights to support risk assessment, audit execution, and decision-making.

Solution Development and Automation

Design, develop, maintain, and enhance analytic and automation solutions using tools such as Alteryx, Power BI, SQL, Python, or similar technologies to query, mine, and analyze large, complex datasets.

Contribute to the department’s analytics and automation roadmap by identifying high-impact opportunities, supporting prioritization efforts, and helping develop scalable tools, templates, and methodologies across the audit lifecycle.

Support the implementation and governance of AI-enabled tools within Internal Audit by helping define practical use cases, usage standards, and controls that promote responsible, effective, and sustainable adoption.

Partnership and Technology Enablement

Partner with Internal Audit, management, and cross-functional stakeholders to evaluate data sources, reporting capabilities, business processes, and risk exposures, and translate them into actionable analytics and technology solutions.

Communicate progress, analytical results, and technical findings clearly to technical and non-technical audiences, including executive leadership.

Drive cross-departmental engagement to help teams assess opportunities, build technology capabilities, and implement scalable solutions that strengthen reporting, controls, and business processes.

Capability Support and Knowledge Sharing

Support the continued advancement of analytics, automation, and AI capabilities within Internal Audit through tool development, documentation, knowledge sharing, and informal coaching.

Support consistency in analytics delivery by helping maintain reusable tools, templates, and repeatable methods.