Jobs · North Carolina

Sr Logistics Analyst

Honeywell Technologies · Charlotte, NC · 3 days ago
Hybrid$116k/yrFull-time

Responsibilities

  • 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.
  • Agentic AI Implementation: Lead the design and deployment of agent-based AI systems to automate and optimize enterprise workflows.
  • Generative AI Enablement: Drive adoption of GenAI solutions across the organization, ensuring alignment with business objectives and operational efficiency.
  • Integration with Azure and Snowflake Cortex Agents: Implement AI-driven solutions leveraging Azure services and Snowflake Cortex agents for secure, scalable, and data-rich applications.

Qualifications

  • 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 include two (2) years involving each of 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.

Pay

BASE SALARY: $116,418 per year

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