Ecommerce Operations Optimization Intern

Ahold Delhaize USA; Scarborough (ME); On-site; USD 25,000 - 47,000; Full time

Benefits offered by this job

One-on-one mentoring

Networking opportunities

Career development tools

Job summary

Ahold Delhaize USA is offering a paid Internship in Facility Strategy and Solutions to enhance e-commerce fulfillment through data-driven batching optimization. You will join a team providing hands-on project work, mentorship, and exposure to leadership, with opportunities to contribute to real-world improvements and learn from industry experts.

The role focuses on validating batching algorithms, gathering associate feedback, and delivering data-informed recommendations to improve operational

Qualifications

• Pursuing a degree in Industrial Engineering, Supply Chain Management, OR related field.
• Strong analytical and problem-solving skills with data interpretation.
• Proficiency in Excel and handling data sets for analysis and validation.
• Effective communication to present findings clearly.
• Detail-oriented and organized with testing management and documentation.
• Reliable transportation for weekly store visits.

Responsibilities

• Support batching initiative to optimize e-commerce orders.
• Conduct validation testing and collect associate feedback.
• Provide recommendations to enhance batching algorithms and performance.

Skills

Analytical thinking

Problem solving

Communication

Organizational skills

Testing coordination

Education

Industrial Engineering

Supply Chain Management

Operations Research

Data Analytics

Computer Science

Tools

Microsoft Excel

SQL

Python

Power BI

Tableau

Job description

Ahold Delhaize USA is offering a paid Internship in Facility Strategy and Solutions to enhance e-commerce fulfillment through data-driven batching optimization. You will join a team providing hands-on project work, mentorship, and exposure to leadership, with opportunities to contribute to real-world improvements and learn from industry experts.

The role focuses on validating batching algorithms, gathering associate feedback, and delivering data-informed recommendations to improve operational