Analyst Finance

Join a high-impact finance team that directly supports decision-making across 33 manufacturing facilities within Prepared Foods Supply Chain. As a Finance Analyst, you will transform financial and operational data into meaningful 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.

This position is ideal for an early-career finance professional who is eager to learn how manufacturing operations influence profitability and interested in leveraging Power BI, automation, and AI to improve business processes and reporting.

• Maintain and enhance dashboards, reporting tools, and analytical solutions that support forecasting, budgeting, and operational performance reviews.
• Prepare financial analyses, reports, and presentations; respond to ad hoc requests and support special projects as needed.
• Assist in the analysis of standard cost variances, including labor efficiency, material usage, and actual versus budget performance, with guidance from Finance Management.
• Support weekly close activities and monthly and quarterly reporting cycles, including account reconciliations, journal entry support, and data validation.
• Develop and maintain reporting solutions using Power BI and Excel (including Power Query) to enable self-service analytics, automate recurring reporting, and improve process efficiency.
• Utilize approved AI tools to accelerate data preparation, summarize results, draft commentary, and identify trends while validating outputs for accuracy and appropriateness prior to 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 (AOP) and long-range planning processes.
• Ensure compliance with SOX and internal control requirements and participate in continuous improvement initiatives.

Bachelor's degree in Finance, Accounting, Business Analytics, Economics, or a related field preferred.

• Minimum of 2 years of experience or equivalent.
• Experience in a financial field preferred.
• Internship and co-op experience will be considered.
• Exposure to a manufacturing or supply chain environment preferred.

• Advanced proficiency in Microsoft Excel, including Pivot Tables, XLOOKUP, and Power Query.
• Working knowledge of Power BI; experience with DAX is a plus.
• Familiarity with ERP systems, preferably SAP.
• Comfort utilizing AI tools while exercising sound judgment regarding data accuracy, privacy, and business application.

• Ability to translate complex financial and operational data into clear, actionable insights and recommendations.
• Foundational understanding of accounting principles with a strong interest in learning manufacturing cost drivers, variance analysis, and key performance indicators.
• Demonstrated curiosity, initiative, and commitment to continuous learning and development.
• Strong written and verbal communication skills with the ability to effectively present information to finance and operations partners.
• Proven 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.
• All professional team members are expected to demonstrate responsible use of approved AI tools, including safeguarding sensitive information, adhering to company policies, and validating AI-generated outputs.
• Individual Contributors should demonstrate the ability to integrate AI into daily work, improve efficiency through AI-enabled solutions, evaluate outputs critically, and apply professional judgment when using AI.
• People Leaders should demonstrate the ability to drive responsible AI adoption, enable effective use of approved solutions, identify opportunities to improve team performance through AI, and ensure accountability for the quality and accuracy of AI-supported outcomes.

Relocation Assistance Eligible:
No

Work Shift:

1ST SHIFT (United States of…