Data Analyst

Weyerhaeuser Wood Products is seeking a highly analytical, proactive Business Analyst I, or II to support Logistics, Claims, and Operational Analytics. This role is ideal for someone who enjoys solving cross-functional business problems, improving process discipline, and using data to drive better transportation, claims, customer, and operational decisions. In this role, you will help translate operational needs into practical reporting, insights, and process improvements across freight movement, claims documentation, carrier performance, cost-to-serve visibility, and customer-facing execution. You will partner with Logistics, Sales, Manufacturing, Distribution, Finance, Claims, Customer Experience, and IT to improve decision quality and standardize how information is captured, analyzed, and acted upon. Core Focus Areas Focus Area What This Role Will Help Improve Logistics Analytics Freight cost, carrier performance, service reliability, shipment exposure, network trends, and operational KPIs. Claims & Documentation Claims recovery support through better visibility to required documentation, including origin/destination photos, shipment records, and follow-up workflows. Process Improvement Standardized reporting, cleaner handoffs, improved data capture, clearer root-cause analysis, and scalable tools for site and corporate teams. Business Partnership Actionable insights for Logistics, Sales, Manufacturing, Distribution, Finance, Claims, Customer Experience, and IT stakeholders. Key Responsibilities - Analyze logistics performance and cost drivers across truck, rail, reload/DC, and customer delivery flows; identify trends, gaps, and improvement opportunities. - Support claims processing and documentation discipline by improving visibility to required claim evidence, including shipment records, photos, seals, damage documentation, and follow-up actions. - Translate business questions into practical reporting solutions using Power BI, Excel, SQL, ERP data, and other available tools. - Partner cross-functionally with Logistics, Sales, Manufacturing, Distribution, Finance, Claims, Customer Experience, and IT to clarify requirements, align metrics, and drive adoption. - Build maintainable analytics products that turn complex data into clear insights, recommendations, and operational routines. - Identify and lead process improvement opportunities that reduce manual work, strengthen controls, improve claim recovery support, and enhance customer/customer-facing execution. - Educate business users on reporting content, definitions, data limitations, and recommended actions. - Use emerging technology thoughtfully including automation, AI-enabled productivity, and workflow tools where they improve speed, accuracy, or standardization.