Operations Analyst Intern - PODS
$25.00-$30.00/hour
Spend a summer solving real problems for a nationwide moving and storage operation, and leave with work you can point to.
PODS moves and stores for customers across the country, and our field Operations leaders run that business every day across Storage Centers, Hubs and Markets. They need sharp analysis to see how they’re performing and where to improve. That’s where you come in.
You’ll report to a Senior Field Operations leader and own one or two focus projects tied to a live operational problem in one of our four leadership pillars: Safety & Training, Customer Experience, Cost, and Capacity & Labor Planning. At the end of the internship, you present your findings and recommendations directly to Operations leadership.
What you’ll do
- Own a focus project. Tackle a real field problem such as finding what separates the safest Markets from the rest, tracing the root causes of a customer experience metric, sizing a cost or efficiency opportunity, or showing where Storage Centers are over- or under-staffed versus plan.
- Analyze performance. Build the KPI views field leaders rely on, run variance and root-cause analysis on the biggest gaps, and turn the numbers into clear recommendations.
- Drive improvement. Help size, launch and track efficiency initiatives, and standardize what works in one Market so others can use it.
- Support leadership. Prepare analysis for weekly and monthly business reviews and answer the questions field leaders bring you.
- Code and automate. Write SQL and Python (or R), replace manual reports with automated ones, and use AI tools like Claude or Copilot to move faster.
- Get into the field. Shadow Storage Center and regional teams to see how a job is booked, planned and completed, 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
- Hands-on experience with SQL, Python, Snowflake and AI-assisted analysis on live operational data
- A working understanding of how a nationwide physical operation runs and measures itself
- Mentorship from a Senior Field Operations leader and working sessions with regional Operations, Operations Planning and Finance
- Tools and analysis that leaders keep using after you leave
Who we’re looking for
- Enrolled in the final years of a bachelor’s program, or in a master’s or MBA program, in Supply Chain, Business, Industrial Engineering, Operations Research, Analytics or a related field
- Working knowledge of SQL and Python (or R) from coursework, projects or a prior internship; strong Excel skills
- Hands-on use of AI tools (Claude, Copilot or similar) for analysis or coding, with the judgment to check the output
- Curiosity about how a physical operation actually runs and how leaders improve it
- Comfortable turning a loosely defined question into a clear analysis, and explaining your results in plain language
- Takes ownership of a deliverable from first draft to finished product and asks for help early
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, 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 operations or analytics; coursework or experience in supply chain, logistics, or another capacity-constrained business
The details
- Temporary internship for Summer 2027; term dates to be confirmed
- Regular business hours. Monday-Friday
- 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.