Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

Check how this applies to your own job

Skills this job asks for

Say which you have and which you want to build. We use it to match you to jobs like this one.

About the job

Job Title: Senior Logistics Analyst

Location: Charlotte, NC

Work Model: Hybrid work model

Purpose and Objective:

Honeywell International Inc. seeks a Senior Logistics Analyst at our Charlotte, NC location to perform exploratory data analysis (EDA) to identify trends, inefficiencies, and opportunities across logistics operations.

For this application, it is required for you to fill the next skills assessment forms:

Senior Logistics Analyst – Fill out form

Please ensure that you fill out this form as part of your application process.

Kindly note, only the applicants that fill out this form will be considered for the position.

Expectations and Tasks:

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.

Education and Occupational Experience:

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.

Qualifications/Skills and Competencies Experience:

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.

BASE SALARY: $116,418 per year

Travel: N/A

This position is eligible for the Employee Referral Program subject to the eligibility criteria outlined in the HON Internal Employee Referral Policy .

Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.