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, FedEx, 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. Requirements 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. Core Competencies 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. Hard Skills 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 Soft Skills Collaboration Project Management Stakeholder Engagement Leadership Certifications & Qualifications Master’s Degree in Analytics Master’s Degree in Data Science Industry Keywords Logistics Operations Carrier Selection Strategies Cost Drivers Performance Metrics Tools & Technologies Azure Services Snowflake Cortex TMS Freight Audit Systems #J-18808-Ljbffr Jobtailor