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Data Analyst Intern

Peet's Coffee
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We are looking for a Data Analyst Intern to join our Distribution team for the 2026 Internship Program here at Peet’s! This 11‑week, project‑based internship is designed to give students meaningful hands-on experience, mentorship, professional development, and exposure to how we keep the Peet’s supply chain running.

In addition to your project work, you’ll participate in engagement opportunities such as tours of our Roasting Plant and Home Office, Resume/Interview Coaching, Tea 101, and more!

About the Role

The Distribution Data Analyst Intern will directly contribute to projects that improve warehouse performance, accuracy, flow, and overall operational efficiency. You will analyze real production and WMS data, build tools for warehouse leaders, support problem solving, and drive continuous improvement across our Tracy Distribution Center.

You will have the opportunity to:

  • Work with SQL and WMS data to model performance and highlight issues
  • Support capacity and labor planning
  • Help improve slotting, zoning, and warehouse layout decisions
  • Build dashboards, reports, and decision-making tools
  • Support Snowflake integrations and data pipelines
  • Partner with operations leaders to solve real warehouse problems

This internship provides a combination of analytics, operations, and systems experience—ideal for students looking to build a career in supply chain analytics, operations engineering, or data science.

In This Internship, You Will Be Responsible For:

Data Analysis & Loss Elimination

  • Identifying, analyzing, and prioritizing operational inefficiencies across safety, quality, productivity, service, cost, flow, and inventory accuracy.
  • Using SQL and WMS data to develop insights, dashboards, and performance visibility tools.
  • Performing root cause analysis and recommending corrective actions to eliminate losses.

Warehouse Systems & Data Modeling

  • Extracting data from the Warehouse Management System (WMS) to model operational trends.
  • Creating or improving data connections/tools, including building API integrations with Snowflake.
  • Designing simple, user-friendly tools for supervisors and managers (e.g., calculators, trackers, performance scorecards).

Financial & Business Case Support

  • Assisting in cost-benefit analyses, ROI calculations, and financial justification for operational changes or capital investments.
  • Supporting capital project execution by providing data, planning, and measurement support.

You Will Have Exposure To:

  • Evaluating top warehouse safety risks and defining potential solutions.
  • Implementing standard work for Case Pick, Layer Pick, Full Pallet Pick, Loading, Staging, and Putaway.
  • Leading or supporting technology transfer and training for new tools or equipment.
  • Implementing components of a Continuous Improvement Daily Management System.
  • Analyzing insourcing potential and network optimization opportunities across warehouses / co-packers.

What We’re Looking For

  • Students pursuing a degree in Data Analytics, Supply Chain, Industrial Engineering, Operations Management, Computer Science, Statistics, or related fields.
  • Strong analytical skills and experience with SQL and PowerBI (required).
  • Familiarity with Snowflake, or WMS/Warehouse data is a plus.
  • Highly motivated, self-driven, and curious with the ability to solve problems and collaborate.
  • Strong communication and willingness to work on the warehouse floor to understand real operations.