Analyst Finance

Tyson Foods•Springdale, AR

About The Position

Join a high-impact finance team supporting decision-making across 33 manufacturing facilities within Prepared Foods Supply Chain. The Finance Analyst transforms financial and operational data into reporting and actionable insights that help Finance Managers, Directors, and plant leaders evaluate performance and drive results. Reporting to the Finance Manager, Reporting, Analysis & Controls, this role supports weekly and month-end close activities, forecasting, and performance reporting while developing expertise in manufacturing cost accounting, cost drivers, and variance analysis. It is suited to an early-career finance professional interested in how manufacturing operations influence profitability and in using Power BI, automation, and AI to improve business processes and reporting. The role maintains dashboards and analytical tools, prepares analyses and presentations, supports cost variance analysis and close activities, and develops reporting solutions in Power BI and Excel. It also uses approved AI tools with appropriate validation, partners with Operational Finance and Corporate Finance, assists with annual and long-range planning, and supports SOX compliance and continuous improvement.

Requirements

Minimum of 2 years of experience or equivalent; financial-field experience preferred.
Bachelor's degree in Finance, Accounting, Business Analytics, Economics, or a related field preferred.
Advanced Microsoft Excel proficiency, including PivotTables, XLOOKUP, and Power Query.
Working knowledge of Power BI.
Ability to translate complex financial and operational data into clear, actionable insights and recommendations.
Foundational understanding of accounting principles and interest in learning manufacturing cost drivers, variance analysis, and key performance indicators.
Strong written and verbal communication skills, including the ability to present information to finance and operations partners.
Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
Strong attention to detail and critical-thinking skills to validate financial analyses and AI-generated outputs.
Ability to work effectively with large data sets and collaborate across cross-functional teams.
Use approved AI tools responsibly, safeguard sensitive information, follow company policies, and validate AI-generated outputs.

Nice To Haves

Experience in a financial field.
Internship or co-op experience; such experience will be considered.
Exposure to a manufacturing or supply chain environment.
Experience with DAX.
Familiarity with ERP systems, preferably SAP.
Curiosity, initiative, and commitment to continuous learning and development.
Comfort using AI tools while exercising sound judgment regarding data accuracy, privacy, and business application.

Responsibilities

Maintain and enhance dashboards, reporting tools, and analytical solutions supporting forecasting, budgeting, and operational performance reviews.
Prepare financial analyses, reports, and presentations; respond to ad hoc requests and support special projects.
Assist with analysis of standard cost variances, including labor efficiency, material usage, and actual-versus-budget performance.
Support weekly close activities and monthly and quarterly reporting cycles, including account reconciliations, journal entry support, and data validation.
Develop and maintain Power BI and Excel reporting solutions, including Power Query, to enable self-service analytics, automate recurring reporting, and improve process efficiency.
Use approved AI tools to support data preparation, summarize results, draft commentary, and identify trends; validate outputs for accuracy and appropriateness before distribution.
Partner with Operational Finance teams and Corporate Finance to gather information, communicate results, and support business decision-making.
Assist with the Annual Operating Plan and long-range planning processes.
Ensure compliance with SOX and internal control requirements and participate in continuous improvement initiatives.
Safeguard sensitive information, follow company policies for responsible AI use, critically evaluate AI outputs, and apply professional judgment.