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Emeryville, CA

Internship

Onsite

$25/hr - $25/hr

Intern

Peet's Coffee is a beloved regional brand on a journey to become a national icon. The Distribution Data Analyst Intern will contribute to projects aimed at improving warehouse performance, accuracy, and operational efficiency, while gaining hands-on experience in data analysis and supply chain operations.

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Responsibilities

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
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)
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
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

Qualification

Required

Currently 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)
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