Supply Chain Business Analytics Manager

Job Summary

Supply Chain Business Analytics Manager defines and executes the analytics strategy for Customer Service, Supply Chain Planning, and Integrated Logistics. The role leads analytics professionals and partners with business leaders and IT to develop scalable data models, governance standards, automated reporting, and advanced analytics capabilities that improve visibility and decision‑making across the end‑to‑end supply chain. The manager drives adoption of predictive, prescriptive, and AI‑enabled analytics to improve forecast accuracy, inventory optimization, service levels, logistics cost performance, and overall supply chain efficiency while ensuring data integrity, accessibility, and responsible AI use.

• Foster a culture of data‑driven decision‑making and continuous improvement across the Supply Chain organization.
• Drive adoption of advanced analytics and AI‑enabled tools by embedding insights into operating rhythms, training users, and measuring usage and business impact.
• Lead and develop analytics professionals with clear priorities, standards, and career paths.
• Support development and execution of a reporting and analytics roadmap aligned to supply chain and operational objectives, shifting the organization from descriptive reporting to predictive and prescriptive decision support.
• Design AI‑enabled dashboards, KPIs, and decision tools used in weekly, monthly, and S&OE rhythms.
• Translate demand, supply, inventory, and capacity signals into actionable planning insights that support S&OE and business decision‑making.
• Partner with Customer Service, Planning, and Logistics leaders to identify and deliver high‑value analytics use cases related to service, cost, inventory, and operational performance.
• Define success metrics and track business impact of analytics solutions, including improvements in service, forecast accuracy, inventory health, cost, productivity, and decision speed.
• Develop analytics that improve visibility to freight, warehousing, distribution, and cost‑to‑serve performance.
• Identify logistics cost drivers and opportunities to improve network, transportation, and service trade‑offs.
• Define business requirements for data models, pipelines, semantic layers, and reporting structures that support scalable analytics across Customer Service, Planning, and Logistics.
• Establish clear intake, prioritization, development, and deployment processes for analytics work.
• Ensure solutions are automated, reusable, and scalable.
• Define data governance, validation, and model monitoring to ensure trust and responsible AI use.
• Collaborate with IT on data foundations and translate reporting requirements into scalable business solutions.
• Facilitate cross‑functional alignment through clear communication of business insights and operational performance.

• Bachelor’s degree in business, Supply Chain, Operations Management, Analytics, or a related field, or equivalent professional experience.
• Master’s degree (MBA, Predictive Analytics, Data Science, or Information Systems) preferred.
• 5‑10+ years of progressive experience in Data Analytics or Business Intelligence with at least 3 years of experience defining and executing a multi‑year Data Strategy or Roadmap.
• Expert proficiency in SQL for complex querying and hands‑on mastery of at least one major BI platform (e.g., Tableau, Power BI).
• Knowledge of data modeling concepts, cloud data architectures (ETL/Data Warehouse), and statistical methodologies.
• Functional understanding of analytical scripting languages (Python or R) for advanced analytics and statistical modeling.
• Proven ability to extract, transform, and analyze data from ERP systems; experience with JD Edwards, Hyperion, Oracle, and Microsoft automation tools preferred.
• Strong communication skills, experience leading cross‑functional meetings, and influencing stakeholders in a matrixed environment.
• Skilled in prioritization, strategic thinking, and driving continuous improvement.
• Expertise in automating and integrating data across multiple platforms and systems.
• Advanced expertise in data visualization and analytics tools (Power BI, Tableau, Alteryx).
• Strong project management skills…