Manager Audit - Data Analytics

Tyson Foods•Springdale, AR

About The Position

Tyson Foods’ Internal Audit function provides an objective evaluation of the design and operating effectiveness of governance, risk management, and internal controls. The Manager Audit - Data Analytics provides data analytics and automation solutions, focusing on strategic capability development in support of Internal Audit. The position supports operations, corporate, IT, and international audits and develops visual tools for annual risk assessment, continuous operational monitoring, control-testing automation, and special projects. The role leads analytics planning, execution, and reporting for supported audits; develops policy-driven and exception-based reporting; works with business and IT teams to incorporate data into analytics tools; and helps the audit team integrate analytics into procedures. It also supports confidential fraud and special investigations, mentors data champions, promotes a diverse and accountable workplace, and identifies opportunities for audit automation and continuous auditing. The position manages a group of personnel performing related tasks and activities. The role is based on first shift in the United States. It involves 1–5 trips per year, with international travel opportunities of approximately 10–15% based on business needs. Relocation assistance is eligible. Team members receive paid time off and benefit offerings that include 401(k) plans and health, life, dental, vision, and prescription drug benefits.

Requirements

Bachelor’s degree, preferably in Accounting, Finance, Technology, Data Science, or another business-related discipline.
Six or more years of audit or data analytics experience preferred.
Experience using data analytics tools within an audit, accounting, or risk management function.
Experience applying data-driven approaches to identify risks, trends, and process-improvement opportunities.
Strong analytical and problem-solving skills with exceptional attention to detail.
Ability to develop advanced Power BI dashboards and visualizations to communicate business insights and audit findings.
Proficiency in SQL for data querying, transformation, and analysis.
Experience with data analytics and reporting technologies.
General understanding of IT operations, including applications, databases, interfaces, and system integrations.
Standard computing skills and Microsoft Office skills.
Excellent verbal and written communication skills, ability to communicate effectively with all levels of management, and strong presentation skills.
Willingness and ability to perform the physical requirements of the job, with or without reasonable accommodation.

Nice To Haves

Master’s degree in Data Science, Analytics, Information Systems, or a related field.
Working knowledge of Generally Accepted Accounting Principles (GAAP).
Prior experience with SAP ECC, SAP S/4HANA, or RISE.
Knowledge of Teammate.
Certified Public Accountant (CPA) and/or Certified Internal Auditor (CIA) certification.
Ability to travel internationally, approximately 10–15% based on business needs.

Responsibilities

Create risk-focused data analytics and automation solutions for the Audit Service team, with accountability for planning, alignment, execution, and reporting phases of supported audits.
Develop policy-driven and exception-based reporting to reduce manual audit testing, shorten audit timelines, and identify value-added insights.
Understand technology used in core business processes, including data schemas, dependencies, and flows, and incorporate data into analytics tools to create visualizations and reports highlighting risks and anomalies.
Develop and manage relationships with IT and functional teams to ensure data and metrics are useful, accurately reflect the business, and align with strategic data objectives.
Work with the audit team to adopt and integrate analytics into audit procedures, including on-site support for key analytics areas and projects.
Use analytics to support fraud and other special investigations confidentially and in coordination with Compliance, Ethics, and Security teams.
Mentor and lead a group of data champions within the audit team to develop analytics and visualization skills.
Promote a workplace culture that values diversity of thought, integrity, and accountability.
Develop a broad understanding of the food production industry business model, its risks and opportunities, and relevant business processes and controls.
Identify opportunities for audit process automation and continuous auditing or monitoring using analytics, RPA, and other tools.
Leverage technology and data to improve the effectiveness of internal audit processes and engagements.
Manage a group of personnel who perform related tasks and activities.
Demonstrate responsible use of approved AI tools, safeguard sensitive information, follow company policies, validate AI-generated outputs, and drive accountable and effective AI adoption as a people leader.