Wholesale Analytics Intern

About the role

As the Wholesale Analytics Intern, you support the US Wholesale Key Accounts team in turning sales, inventory, and account data into timely actions that improve in-season performance. You monitor sell-through and available-to-sell (ATS) inventory, connect the two data sets, and identify products, sizes, colors, or accounts where incremental orders may be possible. You help manage the weekly ATS order process from opportunity identification through follow-up, while maintaining accurate reports, forms, and shared data. You will use Power BI, SPS Commerce, Excel, and internal systems, and learn how sales, planning, operations, and wholesale partners work together. You are encouraged to question inefficient processes, improve how the team organizes information, and communicate recommendations clearly. This role is ideally based out of Portland, Oregon, and is eligible for a hybrid work schedule. The US Wholesale Key Accounts team is accountable for delivering sales through all local channels. We meet the guest where they are shopping, and ensure Arc’teryx is represented in an authentic, consistent way. As the retail landscape changes, we will work together to evolve our approach with creativity and teamwork.

Responsibilities

• Support the US Wholesale Key Accounts team in turning sales, inventory, and account data into timely actions that improve in-season performance.
• Monitor sell-through and available-to-sell (ATS) inventory, connect the two data sets, and identify products, sizes, colors, or accounts where incremental orders may be possible.
• Help manage the weekly ATS order process from opportunity identification through follow-up, while maintaining accurate reports, forms, and shared data.
• Use Power BI, SPS Commerce, Excel, and internal systems, and learn how sales, planning, operations, and wholesale partners work together.
• Question inefficient processes, improve how the team organizes information, and communicate recommendations clearly.

Pay

The salary range for this role is USD $21.49 - $26.49/hour; individual pay is determined by factors such as program of study, year of study, job-related skills, and relevant experience.

Schedule

• Duration: Eight (8) months, January 4, 2027 – August 13, 2027
• Hours per week: Full-Time (40 hours per week, Monday to Friday)
• Work arrangement: Flexible, between in-office and home