Data & Analytics Manager Hormel Foods Corporation . Food.TM

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,

As a Data & Analytics Manager, you’ll lead a talented team in delivering enterprise analytics solutions that empower smarter decisions and drive growth. This role combines leadership, technical expertise, and innovation — evolving BI capabilities while integrating AI and GenAI to unlock predictive insights and automation. You will partner with leaders to translate strategy into actionable initiatives, develop and maintain advanced analytics roadmaps, manage a portfolio of analytics projects, and shape the future of data-driven decision‑making across the organization.

Your leadership will directly influence enterprise decisions that optimize organization performance, accelerate innovation, and drive growth across a global organization. The solutions you and your team deliver will empower thousands of employees to make smarter, faster, and more data‑driven decisions every day.

• Identify and prioritize analytics initiatives that execute the enterprise Data & Analytics strategy and deliver measurable business value.
• Develop and maintain analytics roadmaps that align with enterprise priorities and guide the execution of high‑impact initiatives.
• Oversee the design, development, and deployment of enterprise reporting and analytics solutions using modern platforms and tools.
• Lead and manage a diverse team of analytics professionals, setting clear goals and fostering a collaborative, high‑performance culture.
• Drive adoption of AI, BI and GenAI capabilities to automate insights, enable predictive analytics, and enhance decision‑making.
• Manage the full portfolio of data & analytics projects and products for your domain, ensuring alignment with business objectives, timely delivery, and adherence to standards.
• Partner with business stakeholders to understand data needs and translate them into actionable analytics solutions.
• Ensure technical excellence in data modeling, dashboard development, and reporting standards for accuracy and scalability.
• Track KPIs, monitor adoption, and measure business impact to drive continuous improvement in analytics solutions.
• Collaborate with data platform, engineering, integration and governance teams to deliver analytics roadmap. Maintain compliance with data governance, security, and ethical AI practices while mitigating risks in delivery.
• Stay current with BI, AI, and GenAI innovations, introducing best practices and emerging capabilities to strengthen analytics delivery.

• Bachelor’s degree in MIS, Data Science, Computer Science, Statistics, Analytics or a related field.
• Minimum of 8 years of experience in data and analytics, with at least 3 years in a managerial role.
• Expert understanding in data analysis tools such as SQL, Python, Data Iku and data visualization tools like Tableau or Power BI.
• Experience with developing in data storage solutions such as databases, data warehouses, and data lakes at an enterprise scale.
• Strong expertise in BI platforms (e.g., Power BI, Tableau) and cloud technologies (Google Cloud, Azure).
• Experience deploying Data Science, AI and GenAI solutions…