Sr. Transportation Business Analyst

Key Responsibilities

• Analyze parcel, LTL, FTL, and intermodal transportation data to identify cost drivers, trends, anomalies, and performance issues
• Proactively surface issues related to cost per unit, DIM impacts, accessorial charges, claims, service failures, and lane degradation
• Maintain transportation KPIs and explain variances with clear root-cause analysis
• Connect and reconcile data across multiple systems including TMS, parcel invoice data, internal platforms, WMS, finance systems, and operational data sources
• Bridge freight data with operational performance, facility behavior, and commercial decisions
• Partner with Operations, Finance, Sales, and Technology teams to ensure consistent and reliable data interpretation
• Translate “what happened” into “why it happened” and “what we should do next”
• Identify structural vs. tactical issues (e.g., packaging design, SOP changes, lane strategy, volume shifts)
• Quantify financial impact, operational risk, and potential upside of proposed actions
• Design and maintain executive-ready dashboards and scorecards for transportation and supply chain leadership
• Automate recurring reporting while continuously refining KPIs to ensure relevance and clarity
• Eliminate low-value or redundant reporting in favor of insight-driven views
• Leverage AI and advanced analytics to identify patterns, anomalies, and exceptions in transportation and operational data
• Develop AI-supported narrative summaries that explain performance changes, risks, and opportunities
• Support scenario modeling and “what-if” analysis to guide strategic decisions
• Serve as a trusted analytical partner to Transportation leadership (Parcel, Freight, Network Strategy)
• Collaborate closely with Procurement, Finance, Operations, and Sales to align data, assumptions, and outcomes
• Present findings and recommendations clearly to senior leadership and cross-functional teams

Qualifications

• 5+ years of experience in transportation analytics, supply chain analytics, or business analytics in a logistics-heavy environment
• Strong understanding of parcel, LTL, FTL, and inbound logistics cost structures
• Proven ability to perform root-cause analysis and translate data into actionable insights
• Advanced Excel / spreadsheet skills and experience with BI tools (e.g., Power BI, Tableau, Looker, or similar)
• Experience working with TMS, invoice audit data, and operational systems
• Strong business judgment and ability to challenge assumptions respectfully and constructively