Corporate Intern - Product Data Management
At a glance
- Location
- Nationwide, United States
- Work type
- Remote
- Category
- Data
Corporate Intern - Product Data Management at White Cap (Location: Nationwide - REMOTE, United States). Internship offers hands-on experience across departments with a focus on data analysis, product data management, and related analytics tasks.
What they are looking for
Location: Nationwide - REMOTE, United States of America
A position at White Cap isn’t your ordinary job. You’ll work in an exciting and diverse environment, meet interesting people, and have a variety of career opportunities.
The White Cap family is committed to Building Trust on Every Job. We do this by being deeply knowledgeable, fully capable, and always dependable, and our associates are the driving force behind this commitment.
Job Summary
Internship allows students to gain hands-on experience in areas such as marketing, human resources, information technology, sales, operations, finance, logistics, business development, merchandising, and/or other departments.
Major Tasks, Responsibilities, and Key Accountabilities
Prepares and delivers insights and recommendations based on analyses.
Produces findings and draws conclusions from analyses. Makes oral and written recommendations to management.
Executes tasks directly related to functional projects and/or process improvements.
Communicates issues and roadblocks related to areas of responsibility.
May assist in research or special projects in a variety of areas in order to fulfill business initiatives and meet business objectives.
Nature and Scope
Works in compliance with established procedures and/or protocols. Identifies and resolves readily identifiable, clearly defined problems. Demonstrates skill in data analysis and techniques by resolving missing/incomplete information and inconsistencies/anomalies in routine research/data.
Nature of work requires general supervision; exercises judgment. May be paired with a mentor. Work typically involves regular process checks or review of output by a coworker and/or supervisor.
May provide general guidance/direction to or train junior level support personnel.
Work Environment
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Frequent periods are spent standing or sitting in the same location with some opportunity to move about. Occasionally there may be a requirement to stoop or lift light material or equipment (typically less than 8 pounds).
Typically requires overnight travel less than 10% of the time.
Education and Experience
High School Diploma or GED strongly preferred.
Preferred Qualifications
Data Science, Data Engineering, Business Analytics program focus preferred
Experience with Agentic AI development and deployment a plus
Experience and knowledge of product data management systems, omnichannel data/website analytics is a plus
If you’re looking to play a role in building America, consider one of our open opportunities. We can’t wait to meet you.