Sr Business Intelligence Analyst

Business Unit Overview

Headquartered in Lakeville, Minn., Post Consumer Brands, a business unit of Post Holdings, Inc., is dedicated to providing people and their pets with delicious food choices for every taste and budget. The company's portfolio includes beloved brands such as Honey Bunches of Oats™, PEBBLES™, Grape-Nuts™ and Malt-O-Meal™ cereal and Peter Pan™ peanut butter, as well as Rachael Ray® Nutrish™, Kibbles 'n Bits™ and 9

Lives™ dog and cat food. Post also provides private label solutions to customers in pet food, cereal, nut butters and granola. As a company committed to high standards of quality and to our values, we are driven by one idea:
To make lives better by making delicious food accessible for all. For more information about our brands,  and follow us on Linked In or Facebook for the latest news.

Post Consumer Brands corporate headquarters in Lakeville, Minnesota, is about 20 miles south of Minneapolis and St. Paul, Lakeville has all the benefits of smaller town living with access to everything a large metropolitan area has to offer. Join more than 400 team members collaborating on the two-building campus to help put breakfast on the tables of millions of consumers in North America.

Location: Lakeville, MN (Hybrid, 3 days per week onsite)

Reports To: Manager, Business Intelligence

Please note:
We do not sponsor employment visas now or in the future for this position. Candidates must be authorized to work in the United States without current or future sponsorship requirements on student VISAS.

Post Consumer Brands is seeking a highly technical and business-focused Senior Business Intelligence Analyst to join our Business Intelligence team. Reporting to the Manager of Business Intelligence, this role supports brand and customer teams across our grocery and pet businesses by partnering with stakeholders to understand analytical needs, design scalable reporting solutions, and deliver actionable insights that drive growth.

This position works across the full commercial data landscape, with a primary focus on consumption analytics, including syndicated measurement data (NielsenIQ and Circana), retailer point-of-sale data, consumer panel data (Numerator), sell-in and shipment data, and digital shelf/eCommerce sources such as Salsify, Profitero, and Stackline.

As a senior member of the team, you will own projects end-to-end, develop reusable data products, establish data quality and documentation standards, and mentor analysts on technical execution and industry best practices. We are seeking a technically strong candidate who can independently model, query, and optimize large-scale datasets while translating data into meaningful business recommendations. Experience with in CPG or manufacturing is a strong plus but is secondary to technical expertise.

• Partner with sales, marketing, category management, and commercial teams to deliver analytics that support strategic business objectives.
• Design, build, and maintain reusable datasets in Snowflake using dbt, integrating consumption, sell-in, and digital shelf/eCommerce sources into a trusted single source of truth.
• Develop and maintain Sigma reporting and dashboards focused on delivering actionable business insights.
• Support cross-functional business processes including:
  • Joint Business Planning
  • Category Stories
  • Customer and Channel Playbooks
  • Pricing and Trade Spend Management
  • Commercial Strategy
  • Commercialization
  • Integrated Business Planning
• Conduct ad hoc analyses and provide recommendations to business stakeholders.
• Ensure data accuracy, consistency, and governance while serving as the trusted source for commercial data insights.
• Design and develop agentic AI solutions within Snowflake, enabling self-service analytics through semantic views and AI-powered agents.
• Mentor analysts and contribute to advanced analytics and AI-enabled reporting initiatives.
• Identify, lead, and implement opportunities to automate manual processes and improve team efficiency.
• Collaborate closely with IT and data engineering partners to enhance data infrastructure and…