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 Internship 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 authorized to work in the United States on a full-time basis and be available from May 24, 2027, through August 13, 2027. 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 12-week Internship 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. Our team is responsible for enabling efficient and scalable business processes through the design, support, and continuous improvement of demand planning systems and technologies. We partner closely with cross-functional teams to translate business requirements into system solutions, optimize workflows, ensure data integrity, and drive process standardization. By leveraging technology, analytics, and automation, we help improve operational efficiency, support informed decision-making, and ensure our planning capabilities can meet the evolving needs of the business. The intern will evaluate the machine-learning settings in the new RELEX module, concentrating on the role of weather data in retail forecasting. Their analysis will inform recommendations to the superuser team on how to configure and apply weather inputs to strengthen forecast performance.
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Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed