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PODS

Intern - Logistics Analyst

Clearwater, FL, United States

$25 to $30 USD / hour

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Job details

Pay: $25 to $30 USD / hour
Posting language: English
Posted: Nov 9, 2026

Original job description

Intern -Logistics Analyst

$25.00-$30.00/hour

Help move freight across a nationwide network, with optimizers and automation instead of spreadsheets, and leave behind tools the team keeps running.

PODS moves and stores for customers across the country. Getting a container from an order to a customer’s door means planning loads, routing the long-haul middle mile between Storage Centers, scheduling first and last mile deliveries, and holding carriers to service commitments while controlling cost. The Operations Planning team plans and optimizes that network, increasingly through automated systems, optimizers and solvers rather than by hand.

You’ll report to a senior Operations Planning leader and work on live logistics problems from your first week, in the middle mile, the first and last mile, or both. You’ll own one or two focus projects with real deliverables, spend the rest of your time in the network alongside Data Science, Finance and regional Operations, and present your results to Operations leadership at the end of the summer.

What you’ll do

Own a focus project. Build or improve a route optimization that cuts cost or miles while holding service; find consolidation and fill-rate opportunities in load planning and trailer or container utilization; run root-cause analysis on a recurring exception like missed pickups or late deliveries and recommend the fix; or automate a manual workflow such as carrier assignment, exception triage or an SLA report.
Plan and optimize loads and routes. Support middle mile and first/last mile planning, and use optimizers, solvers and scenario tools to test routing and consolidation options against the current plan on cost, service and feasibility.
Handle exceptions. Work disruptions as they surface (capacity, weather, carrier, equipment), trace recurring failures to their cause, quantify the cost at stake, and track whether fixes bring the defect rate down.
Manage carrier and SLA performance. Build and refresh the dashboards used to manage carrier cost, on-time performance and SLA adherence, and surface the lanes and carriers that are off target.
Code and automate. Write SQL and Python (or R), replace manual reports and hand-offs with automated workflows, and use AI tools like Claude or Copilot to move faster.
Get into the field. Shadow Storage Center, transportation and regional teams to see how a load is planned, dispatched and delivered, so your analysis reflects how the work really happens.

What you’ll walk away with

A completed project with real deliverables, presented to Operations leadership
A working understanding of how freight moves across a nationwide network, from order to door
Hands-on experience with SQL, Python, optimization solvers and AI-assisted analysis on live logistics data
Mentorship from a senior Operations Planning leader and working sessions with Data Science, Finance and regional Operations
Automation, analysis and tools the team keeps using after you leave

Who we’re looking for

Coursework or project experience in optimization, logistics, statistics or operations research, and strong Excel skills for modeling and analysis
Exposure to optimization or routing methods, and a preference for solving them with solvers and optimizers rather than by hand
Working knowledge of SQL and Python (or R) from coursework, projects or a prior internship
A bias toward automating repeatable work and building workflows that keep running after you leave
Hands-on use of AI tools (Claude, Copilot or similar) for analysis or coding, with the judgment to check the output
Genuine curiosity about how freight actually moves across a physical network
Comfortable turning a loosely defined question into a clear analysis, and explaining your results in plain language to analysts and operational leaders alike
Takes ownership of a deliverable from first draft to finished product and asks for help early

Nice to have: a solver or optimization library (OR-Tools, PuLP, Pyomo, Gurobi); Snowflake, Tableau or Power BI; coursework in supply chain, logistics, transportation or operations management.

Job qualifications

Currently in the final years of a bachelor’s degree, or enrolled in a master’s or MBA program
Majoring in Supply Chain Management, Business, Industrial Engineering, Operations Research, Analytics, or a related field, ideally with a data science, analytics, or AI focus
Coursework or hands-on experience with SQL and Python or R
No full-time experience required
Bonus points for: a prior internship, co-op, or substantial project in logistics, transportation, planning, or analytics; coursework or experience in logistics, transportation, routing, or another capacity-constrained operation

The details

Temporary internship for Summer 2027; term dates to be confirmed
Regular business hours, Monday-Friday
Climate-controlled office, with occasional travel to Storage Centers or headquarters
Must be able to use a computer for up to 8 hours a day, stand and walk up to 8 hours a day, and lift up to 50 lbs
May be subject to a pre-employment background check and drug screening in accordance with company policy

PODS Enterprises, LLC is an Equal Opportunity, Affirmative Action Employer. We will not discriminate unlawfully against qualified applicants or employees based on race, color, national origin, ancestry, sex, sexual orientation, age, religion, physical or mental disability, marital status, place of birth, military service status, or any other basis protected by law.

This description indicates the general nature of the work, the knowledge and skills typically required, and usual working conditions. It is not a comprehensive list of all responsibilities or requirements.

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More about this job

Skills

Logistics
Leadership
Root cause analysis
Workflow
SQL
Python
Statistics
Research
Microsoft Excel
R
Snowflake
Tableau
Microsoft Power BI
Supply chain management
Operations management
Industrial engineering
Use a computer
Heavy lifting

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