Supply Chain Data Analytics Co-op - Fall

Position: Supply Chain Data Analytics Co-op - Fall 2026

Supply Chain Data Analytics Co‑op - Fall 2026

Join to apply for the Supply Chain Data Analytics Co‑op - Fall 2026 role at Ahold Delhaize USA
.

2 days ago – Be among the first 25 applicants.

Category/Area of Expertise: Co‑Ops –
Job Requisition: 455809 –
Address: USA‑NC‑Salisbury – 2085 Harrison Road –
Store Code: Services (5120697).

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

Co‑op

Program Overview

• Applicants must be currently enrolled in a bachelor's or master's degree program. They must be authorized to work in the United States full‑time 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.
• 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.

Department / Position Description

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.

Qualifications

• 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, Power
  
  BI, Quick Sight, etc.
• Experience with Microsoft Azure/AWS/GCP or any other cloud technology.
• SQL Server Management Studio (SSMS) and 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 of agile development methodologies and concepts; experience is a plus.
• Ability to translate business needs into operational dashboards and models through Power
  
  BI.
• 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.

Individual cohort pay rates vary based on location, academic year, and position.

ME/NC/PA/SC Salary Range: $18.10 – $31.00

IL/MA/MD Salary Range: $20.00 – $34.20

#LA-LI1

#hybrid

Seniority level

Internship

Employment type

Full‑time

Job function

Management and Manufacturing

Industries

Retail

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