Business Intelligence (Sr.) Analyst - IT - Corporate Office (Austin, MN) / Eden Prairie, MN

Hormel Foods•Austin, MN

9d•Hybrid

About The Position

Hormel Foods Corporation, based in Austin, Minnesota, is a global branded food company with approximately $12 billion in annual revenue across more than 80 countries worldwide. Its brands include Planters®, Skippy®, SPAM®, Hormel® Natural Choice®, Applegate®, 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 by TIME magazine as one of the World’s Best Companies, and has received numerous other awards and accolades for its corporate responsibility and community service efforts. For more information, visit www.hormelfoods.com.

Requirements

Bachelor's degree in Data Analytics, Computer Science, MIS, Business, or a related field (or equivalent practical experience).
5+ years of experience in business intelligence, data analytics, or a related field, with demonstrated senior-level ownership of BI deliverables.
Advanced proficiency with Tableau and/or Power BI, including dashboard design, calculated fields/DAX, and performance optimization.
Strong SQL skills, including complex joins, window functions, and query tuning.
Experience extracting and preparing data from cloud data warehouses, particularly in tools like Google BigQuery, Snowflake, etc.
Hands-on experience designing and maintaining semantic models / metrics layers for enterprise reporting.
Proven ability to gather requirements directly from business stakeholders and deliver reporting solutions from concept to production.
Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences.
Strong organizational skills and the ability to manage multiple concurrent reporting initiatives.
Applicants must not now, or at any time in the future, require sponsorship for a work visa.
Applicants must be authorized to work in the United States for any employer.

Nice To Haves

Experience with Data Science and/or AI for BI concepts and tools (e.g. Agentic AI, GenAI, ML)
Experience with dimensional data modeling (star/snowflake schemas).
Familiarity with ETL/ELT tools (e.g., Informatica, dbt, or similar).
Experience with Python for data preparation or automation.
Experience supporting [industry-specific — e.g., supply chain, sales/marketing, finance] analytics.
Familiarity with data governance and data cataloging practices.
Experience mentoring or informally leading other analysts.

Responsibilities

Design, develop, and maintain interactive dashboards and reports using traditional or modern, AI-powered BI tools to support business decision-making across departments.
Write and optimize complex SQL queries to extract, transform, and prepare data from source systems, including Google BigQuery and other cloud data warehouses.
Design and maintain semantic models (logical/presentation layers) that provide consistent, reusable metrics and dimensions across BI tools.
Partner with business unit stakeholders to gather requirements, translate them into technical specifications, and deliver end-to-end BI solutions.
Perform issue resolution, performance tuning, and ongoing maintenance for existing dashboards, reports, and data models.
Establish and enforce data visualization and dashboard design best practices (usability, performance, accessibility, and visual clarity).
Collaborate with data engineering teams to ensure underlying data pipelines and models support accurate, timely reporting.
Mentor junior analysts on BI development standards, SQL best practices, and semantic modeling concepts.
Document data definitions, calculation logic, and dashboard specifications to support governance and knowledge transfer.
Identify opportunities to automate manual reporting processes and improve self-service analytics capabilities for business users.