Data & Automation Student

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 believe that being an athlete isn’t something you do, it’s who you are. It’s a universal code of conduct, a way of seeing the world and how you show up every day. We seek out diverse voices and welcome all perspectives. Our team is composed of individuals with unique backgrounds, points of view and experiences. These perspectives create a rich and diverse culture in which we learn from one another through empathy and inclusion.

Evolving the sports world and being the best partner for players, athletes, and our community is no small task. We are continually looking to add enthusiastic, ambitious, team-first individuals who desire to make a difference —and who love to help others win. Together, we will create a better world through sport. Join us.

We are currently seeking Data & Automation Student Associates to work part-time 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.

Schedule & Availability

• Monday–Friday between 6:00 AM and 4:00 PM
• Set weekly schedule designed to accommodate class commitments

Key Responsibilities

Specific responsibilities may include, but are not limited to:

• Analyze, document, and support existing data management processes for custom orders
• Identify and surface opportunities to improve data requests, reporting workflows, and handoffs
• Assist in streamlining the printing, sorting, and distribution of job cards for production
• Support the preparation, organization, and optimization of digital production folders
• Participate in documenting and refining processes for compiling replacement order information
• Run automated software to create production-ready artwork
• Update internal proprietary systems to reflect completed tasks and workflow status
• Update SAP systems with revised dates and create or group items for delivery
• Flag manual, duplicative, or error-prone steps and suggest process or automation improvements

Other qualifications include:

• Currently enrolled in a 2- or 4-year college or technical school
• Experience with Microsoft Office applications and ability to learn new software quickly
• Experience with SAP or SAP-related systems (preferred)
• Experience with Python, SQL, Power BI and/or Tableau (preferred)
• Strong written and verbal communication skills
• Detail-oriented, organized, and comfortable working with data and documentation
• Ability to understand product specifications and interpret product visuals
• Adaptable in a fast-paced, continuously evolving environment
• Willingness to learn multiple processes and work across departments
• Ability to collaborate openly and build positive relationships with internal and external partners

Perks:

The starting pay for this role is $17/hour at the time of this posting. 

• Educational assistance – work part-time and earn up to $4,500 per year to pay for your tuition (eligibility defined by Company Policy)
• Paid company holidays (according to Company Policy)
• Discounts on Wilson and Amer Sports products

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.