North America

Inventory Control Associate

Independence, KY, USA

Sponsorship not specified$18k-$22kDetected 1 day ago

Research

About the role

As a member of the Inventory Control Team, the primary objective for this position is to assist in production to ensure accuracy and quality for all orders.
Utilize sight recognition and matching of numeric and alpha listings to ensure bundles and kits are accurate.
Continuously reach, lift, push and pull up to 40 lbs.

High School Diploma or equivalent
At least 18 years of age.
Ability to consistently push, pull and lift up to 40 lbs throughout an 8-10 hour shift.
Ability to occasionally push, pull and lift up to 50 lbs throughout an 8-10 hour shift.
Skilled in site recognition/matching of numeric and alpha groupings.
Ability to comprehend simple instructions.
Ability to write legibly.
Able to add, subtract, multiply, and divide if necessary.
Must be flexible with work hours.
Basic computer skills including LogPro.
Stand and walk for 8-10 hours.
Adhere to all safety practices and policies.

The full base pay range has been provided for this position.
Individual base pay will vary based on work schedule, qualifications, experience, internal equity, and geographic location.
Sales roles often incorporate a significant incentive compensation program beyond this base pay range.

At Cengage Group, we take great pride in our commitment to providing a comprehensive and rewarding Total Rewards package designed to support and empower our employees.
Click here to learn more about our Total Rewards Philosophy.
If you are an applicant with a disability and require reasonable accommodation in our job

We believe in the power and joy of learning
At Cengage, our employees have a direct impact in helping learners around the world discover the power and joy of learning.
We are bonded by our shared purpose - driving innovation that helps millions of learners improve their lives and achieve their dreams through education.

This listing is sourced directly from North America's careers page and normalized into a canonical job model.