Data Management Analyst / Senior Data Management Analyst - Supply Chain - IT Hormel Foods

DATA MANAGEMENT ANALYST/SENIOR DATA MANAGEMENT ANALYST - SUPPLY CHAIN – INFORMATION TECHNOLOGY SERVICES – HORMEL FOODS CORPORATE OFFICE (AUSTIN, MN OR WILLMAR, MN) FLEXIBLE WORK ARRANGEMENT IN THE FOLLOWING STATES: Minnesota, Iowa, Wisconsin, Illinois.

To save time applying, Hormel Foods does not offer sponsorship of job applicants for employment-based visas for this position at this time.

Hormel Foods Corporation 

About Hormel Foods — Inspired People. Inspired Food.™
Hormel Foods Corporation, based in Austin, Minnesota, is a global branded food company with over $12 billion in annual revenue across more than 80 countries worldwide. Its brands include Planters®, Skippy®, SPAM®, Hormel® Natural Choice®, Applegate®, Justin’s®, Wholly®, Hormel® Black Label®, Columbus®, Jennie-O® and more than 30 other beloved brands. The company is a member of the S&P 500 Index and the S&P 500 Dividend Aristocrats, was named one of the best companies to work for by U.S. News & World Report, one of America’s most responsible companies by Newsweek, recognized on Fast Company’s list of the 100 Best Workplaces for Innovators, received a perfect score of 100 on the 2023–24 Corporate Equality Index and has received numerous other awards and accolades for its corporate responsibility and community service efforts. The company lives by its purpose statement — Inspired People. Inspired Food.™ — to bring some of the world’s most trusted and iconic brands to tables across the globe. For more information, visit hormelfoods.com.

RESPONSIBILITIES:

This position is responsible for the ensuring data accuracy, consistency, and quality across the organization with a primary focus on supply chain data and processes.  The ideal candidate will have a strong process and analytical mindset, a deep understanding of data management principles, and the ability to drive data and process initiatives. 

Data Stewardship and Ownership

• Work with data stewards in the business to resolve data quality issues in source systems.
• Work with data owners in the business to identify, prioritize and deploy enterprise data standards and processes.
• Perform Root Cause Analysis (RCA) for data anomalies and issues in partnership with data stewards and support resolution of these issues.
• Implement data quality standards, procedures, and validation & cleansing rules.
• Develop and implement data quality metrics and automated monitoring processes.
• Leverage data management tools to profile and analyze data at aggregate as well as granular levels to derive insights and actions.

Data Governance and Strategy

• Collaborate with key stakeholders to understand their data requirements and contribute to the development of data governance policies.
• Develop and implement data governance policies, standards, and procedures to ensure data quality and consistency.

Project and Change Management

• Collaborate with IT teams to ensure seamless integration of master data across systems and applications.
• Coordinate activities among project teams and data governance working groups for process enhancements and data quality.

Strategic Leadership in Data Quality

• Recommend and lead process and data improvement activities among many stakeholders across business areas and IT teams.
• Communicate master data management (MDM) strategies, policies, and initiatives to stakeholders at various levels of the organization.
• Identify, analyze, and resolve data quality issues across assigned data domains.

Tooling and Technology

• Leverage tools and technologies to support data management activities of writing data quality rules, validations, monitoring routines and workflows.

QUALIFICATIONS: 

Required

• A bachelor's degree.
• Functional and/or technical experience with supply chain data and processes in manufacturing or CPG organizations.  Supply chain areas may include, but are not limited to, order management, planning, scheduling, transportation, warehouse management, EDI, procurement, purchasing, products, bills of material, warehouse management, and operations execution.
• 3+ years of experience in data quality, data management, data governance, or related discipline.
• Proven experience working with technical and functional team members.
• In-depth knowledge of data quality concepts, tools, and best practices.
• Experience with data processing languages such as PL/SQL, SQL, etc. to accomplish complex data transformations.
• In-depth experience with data quality in a corporate environment.