Supply Chain Data Analytics Co-op - Fall 2026

Introduction

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which also includes five leading omnichannel grocery brands – Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Ahold Delhaize USA associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more. Overview

Get an insider view of the fast-changing grocery retail industry while developing relevant business, technical and leadership skills geared towards enhancing your career. This paid Co-op experience is an opportunity to help drive business results in an environment designed to promote and reward diversity, innovation and leadership. Our mission is to create impactful early talent programs that provide cohorts with meaningful project work, learning and development sessions, and mentorship opportunities. Applicants must be currently enrolled in a bachelor's or master's degree program. Applicants must be currently authorized to work in the United States on a full-time basis and be available from July 13, 2026 through December 4, 2026. We have a hybrid work environment that requires a minimum of three days a week in the office. Please submit your resume including your cumulative GPA. Transcripts may be requested at a future date. You will work with a team of experienced Supply Chain Professionals to deliver business critical solutions by deploying Analytics Solutions such as time sensitive data engineering pipelines, Business Dashboards and Predictive Analytics Models. You should be comfortable working with huge datasets, be detail oriented and be able to successfully drive Analytics Projects to completion. Responsibilities

Approximate 6-month Co-op session with competitive pay Impactful project work to develop your skills/knowledge Career assistance & mentoring in obtaining full time positions within ADUSA Leadership speaker sessions and development activities One-on-one mentoring in your area of interest Involvement in group community service events Networking and professional engagement opportunities Access to online career development tools and resources Opportunity to present project work to company leaders and gain executive visibility Requirements

Must be enrolled in a BS/MA, MS, or a recent graduate in a related field Experience or basic understanding of predictive modelling techniques and Machine Learning Models such as k-nearest neighbors, multiple-regression, neural networks, etc. Experience or basic understanding of forecasting techniques such as ARIMA, ETS, etc. Visualization expertise using tools such as Tableau, PowerBI, QuickSight, etc. Experience with Microsoft Azure/ AWS/ GCP or any other cloud technology SQL Server Management Studio (SSMS), SQL Server Integration Services (SSIS) Strong Knowledge of relational databases, SQL and Python Comprehension of key supply chain fields: logistics, warehousing, demand management, etc. Understanding agile development methodologies and concepts; experience with is a plus Ability to translate business needs into operational dashboards and models through PowerBI Experience or knowledge of predictive modelling techniques and Machine Learning Models such as k-nearest neighbors, multiple-regression, neural networks, etc. Experience or knowledge of forecasting techniques such as ARIMA, ETS, etc. Experience or knowledge using SQL, Python, Scala is a plus Passion for using analytics to drive operational change in supply chain Passion for solving complex business problems Relational Database Management Systems (RDBMS) Must be able to adapt quickly to change without being afraid to take on new responsibilities in a fast-paced team environment while being proactive and action-oriented Strong verbal, written and listening skills

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