An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Wilson Sporting Goods Co. is seeking Data & Automation Student Associates to work part-time on site in our apparel facility. You will learn how data flows through a manufacturing environment and contribute to real-world process improvements.
Roles include organizing data processes, identifying gaps, and supporting data workflow enhancements while collaborating with multiple departments. Monday–Friday scheduling accommodates class commitments, with a starting pay of $17/hour.
At Wilson, we are here to empower every human to live like an athlete. Passion. Creativity. Integrity. Teamwork. Ambition. Innovation. These are the qualities that have made Wilson Sporting Goods Co. the number one sports equipment brand in the world. We come together to win, grow, and celebrate. We all play for Team Wilson. We all have a role to play within our organization and are working towards the same goal. One team, one dream.
We are currently seeking Data & Automation Student Associates to work part-time on site in our apparel facility, with a focus on data operations support. These roles are designed for students who are interested in learning how operational data flows through a manufacturing environment and contributing to meaningful, real-world process enhancements.
Student Associates will primarily help organize, document, and support existing Data Ops and production-related processes. Through this work, they will also be well-positioned to identify gaps, inefficiencies, and improvement opportunities, such as opportunities to standardize data requests, reduce manual or duplicative reporting, clarify ownership and handoffs, and flag automation or data quality improvements.
Specific responsibilities may include, but are not limited to:
The starting pay for this role is $17/hour at the time of this posting.
Amer Sports is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, gender expression, protected veteran status, disability, or any other legally protected characteristics.