Sr Logistics Analyst

Posted 2 Months Ago
Be an Early Applicant
Charlotte, NC, USA
Hybrid
116K-116K Annually
Senior level
Aerospace
The Role
Perform exploratory data analysis and build scalable data pipelines to identify logistics inefficiencies and cost savings. Analyze parcel rate cards, integrate carrier APIs, develop dashboards and recommendation engines, support rate negotiations, lead cross-functional analytics projects, and implement agentic/Generative AI solutions integrated with Azure and Snowflake Cortex Agents.
Summary Generated by Built In

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.

 

Responsibilities

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

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.

About UsHoneywell 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.

Skills Required

  • Master's degree in Analytics, Data Science, or related field (or foreign equivalent)
  • Minimum two years of progressive post-baccalaureate experience in the job or related occupation
  • At least two years experience with Databricks, Alteryx, and SQL
  • Experience applying data engineering principles and using cloud-based data platforms
  • Experience with API systems and real-time system connectivity
  • Experience identifying productivity opportunities, building analytical solutions, and working with recommendation engines
  • Ability to integrate with TMS and Freight Audit systems and automate rate shopping with carrier APIs
  • Willingness to complete required skills assessment form as part of application
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The Company
Mississauga, Ontario
10,000 Employees
Year Founded: 1914

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