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Supply Chain Product Management Co-op Fall

Job in Salisbury, Rowan County, North Carolina, 28147, USA
Listing for: Loyalty360
Full Time position
Listed on 2026-06-03
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 18.1 - 31 USD Hourly USD 18.10 31.00 HOUR
Job Description & How to Apply Below
Position: Supply Chain Product Management Co-op Fall 2026

Category/Area of Expertise:
Co‑Ops

Job Requisition: 455469

Address: USA‑NC‑Salisbury‑2110 Executive Drive

Store Code:
Services (5120704)

Co‑Op Program 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.

Eligibility

& Requirements

Applicants must currently be enrolled in a bachelor’s or master’s degree program. They must be authorized to work in the United States on a full‑time basis and be available from July 13, 2026 through December 4, 2026. The work environment is hybrid, requiring a minimum of three days a week in the office. Submit a resume including cumulative GPA; transcripts may be requested at a future date.

Benefits

and Opportunities
  • Approximate six‑month Co‑op session with competitive pay
  • Impactful project work to develop your skills and knowledge
  • Career assistance & mentoring for 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
Position Description

The Product Management team is a portion of the greater Supply Chain Analytics team. We build, supply, and support data products that provide visibility into key performance metrics and operational data for daily decision making. We partner with cross‑functional teams and specialized teams to coordinate efforts that ensure accurate and timely data feeds for our partners across the organization. Our mission is to combine data products and technology to deliver high quality, long‑term, sustainable, and scalable solutions to our customers, while also partnering with IT to monitor data quality and timeliness.

Our vision is to create supply chain enterprise data products that allow users to self‑serve and include all Vendor‑to‑Shelf data they need to make effective decisions, thus improving supply chain performance across the portfolio.

Responsibilities

During the Spring session, the Co‑op will plan, execute, track, and close Sprints within the team. They will learn how to work within a multidisciplinary team, gain an understanding of how research and discovery is a critical step in the development process, and interact with subject matter experts and cross‑functional business partners. The Co‑op will also gain insight into system connectivity, data availability, and data quality and how these factors impact the business.

Qualifications
  • Currently pursuing a BS/BA, MS, or PhD in Computer Science or a related field
  • Knowledge of SQL and Python
  • Basic understanding of Agile process (Kanban)
  • Basic understanding of cloud‑based environments (Databricks preferred)
  • Experience working in a collaborative group setting
  • Experience using analytical thinking and problem‑solving skills
  • Demonstrated ability to communicate clearly, appropriately and effectively
Compensation

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.

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