Senior Transportation Analyst

Overview

Join a dynamic team as a Senior Transportation Analyst, where you will play a pivotal role in optimizing parcel shipping operations through innovative analytics and automation. This position offers a unique opportunity to leverage your expertise in transportation and data analysis to drive strategic initiatives that enhance profitability and service performance. You will thrive in a collaborative and flexible work environment that values innovation and continuous improvement, with ample opportunities for professional growth and development.

Responsibilities

• Utilize advanced analytics and AI/ML techniques to develop predictive models that forecast parcel spend, identify service delays, and uncover cost-saving opportunities.
• Automate workflows using tools such as Python, SQL, and Alteryx to streamline processes like invoice audits and data reporting.
• Create dynamic dashboards and visualization tools (Power BI, Tableau, Looker) to deliver actionable insights to stakeholders.
• Analyze parcel shipping data to pinpoint trends and inefficiencies, optimizing carrier mix strategies for enhanced performance.
• Conduct thorough audits of carrier invoices to ensure compliance with contracted rates and negotiated terms.
• Collaborate cross-functionally with Sales, Operations, and IT to develop data-driven pricing models and shipping solutions.
• Stay abreast of industry trends and technology advancements to recommend process improvements and strategic enhancements.

Qualifications

• Must-Have:
• Bachelor’s degree in Supply Chain, Logistics, Business, Finance, Analytics, Data Science, or a related field.
• 2–5 years of experience in parcel logistics, transportation analytics, or supply chain operations.
• Strong analytical skills with proficiency in Excel and data visualization tools (Power BI, Tableau, Looker).
• Working knowledge of SQL and experience in querying large datasets.
• Familiarity with parcel shipping software (e.g., ShipStation, UPS WorldShip) and ERP/WMS/TMS systems.
• Excellent communication skills with the ability to convey complex data insights to non-technical audiences.
• Nice-to-Have:
• Experience with AI/ML tools for forecasting and logistics optimization.
• Background in freight bill auditing or chargeback management.
• Familiarity with carrier contract negotiation and pricing strategy.
• Experience integrating data through APIs or building ETL workflows (e.g., Alteryx, dbt).
• Knowledge of modern parcel optimization platforms like Shipium.