p>Expert proficiency in SQL for complex querying and hands-on mastery of at least one major BI platform (e.g., Tableau, Power BI) Demonstrated working knowledge of data modeling concepts, cloud data architectures (ETL/Data Warehouse), and statistical methodologies sufficient to scope and govern advanced analytics projects 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. Own the Analytics Strategy Define and execute a multi-year CS&IL analytics roadmap aligned to business outcomes Shift the organization from descriptive reporting to predictive and prescriptive decision support Embed Analytics into Decisions Design AI-enabled dashboards, KPIs, and decision tools used in weekly, monthly, and S&OE rhythms Partner with Planning and Logistics leaders on high-value use cases: Forecast accuracy & bias Inventory optimization & service trade-offs Capacity and constraint planning Disruption and risk sensing.