Hiring: Sr Business Intelligence Analyst Company: Post Consumer Brands Location: Lakeville, MN Job Posted Time: 2026-09-10 11:04:27 Employment Type: Hybrid Target Skills & Keywords : Data Warehouse, Python, SQL, Snowflake, Stakeholder Management, dbt About the job Experience: •Minimum of 3 years of analytics, business intelligence, data engineering, or related data-focused experience. •Demonstrated expertise in technical data management, modeling, reporting, and analysis. •1 to 2 years of CPG, food, retail, manufacturing, or related industry experience preferred. •Operational familiarity with NielsenIQ, Circana, or similar syndicated data sources is a plus. •Proven ability to build strong relationships, influence stakeholders, and lead initiatives. Required Skills: •Lakeville, MN (Hybrid, 3 days per week onsite) •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. •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. •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. Qualifications: •Bachelor's degree in Business, Data Science, Analytics, Information Systems, Statistics, or a related field. •Master's degree in Analytics, Data Science, Statistics, or a related discipline preferred. •Basic Python knowledge for analytics and automation. •Exposure to AI agents, semantic layers, semantic views, or AI-driven analytics solutions. •Knowledge of data governance and data quality practices. Compensation: •$80,166 - $118,645 / year •The pay range for this position is $80,166 - $118,645 per year. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!