Senior Logistics Analyst

Responsibilities

• Perform exploratory data analysis (EDA) to identify trends, inefficiencies, and opportunities across logistics operations.
• Analyze Small Parcel rate cards across UPS, Fed Ex, and DHL to support cost optimization and carrier selection strategies.
• Build and maintain scalable data pipelines using Databricks and other modern data engineering tools.
• Use Alteryx for complex data transformations and workflow automation.
• Collaborate with business stakeholders and site teams to translate insights into actionable strategies.
• Partner with the Sourcing Director to support rate negotiations through multi-round cost-benefit analyses.
• Provide timely feedback and recommendations to drive productivity and cost optimization.
• Develop and maintain dashboards to visualize logistics KPIs, cost drivers, and performance metrics.
• Lead cross-functional teams to execute logistics analytics initiatives and ensure alignment with business goals.
• Manage multiple projects simultaneously, ensuring timely delivery, stakeholder engagement, and measurable outcomes.
• Integrate APIs with logistics vendors to automate rate shopping and optimize carrier/service selection.
• Support real-time data exchange and integration with Carriers, TMS, and Freight Audit systems.
• Lead the design and deployment of agent-based AI systems to automate and optimize enterprise workflows.
• Drive adoption of GenAI solutions across the organization, ensuring alignment with business objectives and operational efficiency.
• Implement AI-driven solutions leveraging Azure services and Snowflake Cortex agents for secure, scalable, and data-rich applications.

• Master’s degree or foreign equivalent in Analytics, Data Science, or a related field of study and two (2) years of progressive post-baccalaureate experience in the job offered or related occupation.
• Experience must involve two (2) years in the following:
• Databricks, Alteryx, and SQL;
• Applying data engineering principles and using cloud-based data platforms;
• API systems and real-time system connectivity; and
• Identifying productivity opportunities, building analytical solutions, and with recommendation engines.

Demonstrates expertise in data analysis, pipeline development, and AI-driven solutions to optimize logistics operations. Proficient in leveraging tools like Databricks and Alteryx for data transformation and visualization while collaborating with stakeholders to drive actionable insights.

• Exploratory Data Analysis
• Cost Optimization
• Data Pipeline Development
• Complex Data Transformations
• Logistics KPIs Visualization
• Multi-Round Cost-Benefit Analyses
• Agent-Based AI Systems
• GenAI Solutions Implementation
• Real-Time Data Exchange
• Recommendation Engines

• Collaboration
• Project Management
• Stakeholder Engagement
• Leadership

• Master’s Degree in Analytics
• Master’s Degree in Data Science

• Logistics Operations
• Carrier Selection Strategies
• Cost Drivers
• Performance Metrics

• Azure Services
• Snowflake Cortex
• TMS
• Freight Audit Systems