Sr Distribution Business Analyst

Post Consumer BrandsLakeville, MN
Onsite

About The Position

At Post Consumer Brands, this is a chance to do meaningful work at the intersection of supply chain, analytics, and continuous improvement. The Sr Business Analyst, Distribution helps shape how distribution and warehousing performance is measured across the network by designing reporting, strengthening data integrity, and advancing the systems and processes that support operational and financial control. This role is well suited for someone who wants to innovate, make their mark, and help drive smarter, more resilient decisions.

Requirements

  • A four-year degree in Supply Chain Management, Data Analytics, Business, Finance, Computer Science, or a related field
  • 3+ years of professional experience, with preferred experience in supply chain operations, supply chain planning, or data analytics
  • Strong working knowledge of business intelligence and data visualization tools, with Tableau preferred
  • Experience with artificial intelligence or demonstrated use of AI to develop or enhance data analytics tools and capabilities
  • Strong knowledge of integrated planning systems and processes
  • Experience with continuous improvement tools and techniques
  • Sound business judgment, an understanding of economic principles related to distribution decisions, and the ability to build relationships and influence others

Responsibilities

  • Design, develop, and maintain dashboards and data assets that support evolving distribution needs and make performance easier to understand and act on.
  • Lead the full dashboard delivery process, including requirements gathering, development, deployment, and training.
  • Partner with data engineering, IT, technical teams, and third-party partners to improve data quality, build new capabilities, and quantify the business impact of data integrity issues.
  • Document calculation logic, configuration assumptions, and system rules while influencing process improvements that strengthen business resiliency.
  • Investigate opportunities to elevate analytics capabilities, including the use of AI, and identify practical solutions that improve data maturity and system quality.
  • Define data quality metrics, execute audits, and help establish targets that improve distribution data quality over time.
  • Serve as a steward of network data and support business processes tied to damages reporting, CHEP processing, inventory control, warehousing applications, and data integration.
  • Support cost-benefit analysis and productivity or cost-out initiatives while maintaining working knowledge of key systems, including Korber, Supertool, E2Open, Maestro, and JDE.
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