Data Analytics Co-op - Spring 2026

ViziRecruiter,LLC.

Salisbury (NC)

Hybrid

USD 24,934 - 42,705

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Competitive pay

Mentorship opportunities

Access to career development tools

Job summary

A leading grocery retailer is seeking a Data Analytics Co-op to develop analytical solutions and improve fulfillment performance. The role requires a background in data analysis and coding, specifically in SQL and Python. This position offers mentorship and project work, with a competitive pay range and a hybrid work model that requires office presence three days a week.

Qualifications

Applicants must be currently enrolled in a bachelor's or master's degree program.
Coding experience is preferred with SQL and/or Python.
Ability to interact with cross-functional teams.

Responsibilities

Collaborate with digital product managers and data scientists.
Develop analytics solutions for reporting and performance improvement.
Build data models and dashboards to support operations.

Skills

SQL

Python

Data Analysis

Cross-functional teamwork

Education

Currently enrolled in Data Analytics or related field

Tools

Power BI

Tableau

Job description

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 January 20, 2026, through June 5, 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

Responsibilities

The Consumer Decision & Sciences (C&DS) department is a data-driven team with a wide range of technical skills and responsibilities.
Some teams focus on analyzing data trends and providing insights through commentary/recommendations. Others are tasked with building and maintaining the data products that support these analyses.
This structure allows for a collaborative approach to data, where insights and infrastructure work hand-in-hand. Overall, the department emphasizes both data interpretation and data creation to drive informed decision-making.
This Data Analytics Co-op role will work collaboratively with the digital product managers, fulfillment data visualization analysts, data scientists, IT, technical teams, and the fulfillment teams to develop analytical solutions to enable reporting end users to understand and improve fulfillment performance.
This role will be expected to develop a deep understanding of the fulfillment business processes and how these processes are captured and reflected in our data environments and use this knowledge to consult on data pipelines and develop data models and dashboards to support the fulfillment and brand operations teams.

Requirements