Manager Audit - Data Analytics

Tyson Foods, Inc.•Springdale, AR

About The Position

Tyson Foods’ Internal Audit function provides objective evaluations of the design and operating effectiveness of governance, risk management, and internal controls. The Manager Audit - Data Analytics provides data analytics and automation solutions, with a focus on developing strategic capabilities for Internal Audit. The role supports audits across operations, corporate, IT, and international functions, and develops visual tools for annual risk assessment, continuous operational monitoring, control-testing automation, and special projects. The position leads a group of personnel performing related tasks and activities, mentors audit-team data champions, and works with audit, IT, and functional teams to embed analytics in audit procedures. It uses analytics, automation, and technology to improve audit effectiveness, identify risks and anomalies, support investigations, and generate business insights. The role requires an understanding of food production business models, business processes, controls, and associated risks and opportunities. Travel is 1–5 trips per year, with possible international travel of approximately 10–15% based on business needs.

Requirements

Bachelor’s degree, preferably in Accounting, Finance, Technology, Data Science, or another business-related discipline.
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.
Excellent verbal and written communication skills; ability to work and 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.
Professional team members are expected to use approved AI tools responsibly, protect sensitive information, follow company policies, and validate AI-generated outputs. People leaders are expected to promote responsible AI adoption and ensure accountability for the quality and accuracy of AI-supported outcomes.

Nice To Haves

6+ years of audit or data analytics experience.
Master’s degree in Data Science, Analytics, Information Systems, or a related field.
Working knowledge of Generally Accepted Accounting Principles (GAAP).
Experience using data analytics tools within an audit, accounting, or risk management function.
Experience using data-driven approaches to identify risks, trends, and process-improvement opportunities.
Prior experience with SAP ECC, SAP S/4HANA, or RISE.
Knowledge of Teammate.
Certified Public Accountant (CPA) and/or Certified Internal Auditor (CIA) certification.

Responsibilities

Create risk-focused data analytics and automation solutions for the Audit Service team, and manage the planning, alignment, execution, and reporting phases of supported audits.
Develop policy-driven and exception-based reporting to reduce manual audit testing and audit time while identifying value-added insights.
Understand the technology used in core business processes, including data schemas, dependencies, and flows; 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 valuable, 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, maintaining confidentiality and appropriate interfaces with Compliance, Ethics, and Security teams.
Mentor and lead data champions within the audit team to develop their analytics and visualization skills.
Model leadership that promotes diversity of thought, integrity, accountability, and a supportive workplace culture.
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, robotic process automation (RPA), and other tools; leverage technology and data to improve internal audit processes and engagements.
Manage a group of personnel performing related tasks and activities.