Sr Logistics Analyst

Reposted 15 Days Ago
Charlotte, NC, USA
Hybrid
116K-116K Annually
Senior level
Aerospace • Security • Energy • Industrial
The Role
Perform exploratory data analysis and logistics analytics to optimize small parcel carrier selection and costs. Build and maintain Databricks data pipelines, use Alteryx for ETL, create dashboards, integrate carrier/TMS/APIs, support rate negotiations, lead AI (agentic/Generative AI) implementations leveraging Azure and Snowflake Cortex Agents, and manage cross-functional projects to drive productivity and cost savings.
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 helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.

Skills Required

  • Master's degree in Analytics, Data Science, or related field (or foreign equivalent)
  • Two years progressive post-baccalaureate experience in the job offered or related occupation
  • At least two years experience with Databricks, Alteryx, and SQL
  • Experience applying data engineering principles using cloud-based data platforms
  • Experience with API systems and real-time system connectivity (carrier/TMS integrations)
  • Experience identifying productivity opportunities, building analytical solutions, and recommendation engines
  • Complete the required skills assessment form as part of application

Honeywell Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Honeywell and has not been reviewed or approved by Honeywell.

  • Retirement Support Retirement benefits are anchored by a strong 401(k) match with clear vesting and annual funding mechanics. Plan administration and education resources further reinforce long‑term savings support.
  • Leave & Time Off Breadth Time away provisions include company holidays, flexible vacation for many exempt roles, and paid sick time. These policies contribute meaningful breadth beyond base pay.
  • Parental & Family Support Paid parental leave is available to all parents with flexible usage options, and certain family‑building supports are included. Birth mothers can coordinate leave with short‑term disability for extended coverage.

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The Company
HQ: Charlotte, NC
110,269 Employees
Year Founded: 1906

What We Do

Honeywell is a Fortune 500 company that invents and manufactures technologies to address tough challenges linked to global macrotrends such as safety, security, and energy. With approximately 110,000 employees worldwide, including more than 19,000 engineers and scientists, we have an unrelenting focus on quality, delivery, value, and technology in everything we make and do.

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