Wholesale Analytics Intern

Department:

NAM - Wholesale Reports to

:

National Account Manager - USA Location:

Portland, Oregon Work Arrangement:

Flexible, between in-office and home Pay Range

:

$21.49 - $26.49/hourly; pay is dependent on year of study and related experience Duration:

Eight (8) months, January 4, 2027 – August 13, 2027 Hours Per Week:

Full-Time (40 hours per week, Monday to Friday) Your Co-Op Opportunity at ARC’TERYX: 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. Meet Your Future Team: 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.

If you were Wholesale Analytics Intern now, here are some of the core activities you would be doing:

Analyzing sales and inventory performance to identify trends, risks, and opportunities across wholesale accounts

Supporting in-season sales opportunities by reviewing ATS inventory, recommending additional orders, and assisting with the weekly order process

Creating and maintaining business reporting using tools such as Excel, Power BI, and SPS Commerce to help the Sales team make informed decisions

Improving team processes and data organization by supporting account documentation, maintaining accurate information, and identifying more efficient ways of working

Here are some of the things you will learn by the end of your Co-Op placement:

You will learn how to interpret retail sell-through, inventory, and order data within a wholesale commercial environment, and how to translate analysis into an actionable sales recommendation. You will strengthen your skills in Power BI, Excel, SPS Commerce, data quality, process documentation, and business communication. You will also gain exposure to cross-functional decision making, account management, demand and inventory considerations, and the full path from insight to order execution. Are you our next Wholesale Analytics Intern?

You are currently enrolled in a post-secondary institution, preferably in Business, Statistics, Data Analytics, Finance, Economics, Supply Chain, Information Systems, or a related discipline

You are comfortable working with numbers and spreadsheets and are interested in finding the business story behind the data

You have advanced Microsoft Excel skills, including organizing data, using formulas, and reviewing large data sets. Experience with pivot tables or lookups is a requirement

You are curious about Power BI and data visualization. Previous experience is helpful but not required if you are eager to learn

You bring strong attention to detail and understand that accurate product, inventory, and order data is essential to good decisions

You can manage recurring weekly responsibilities while progressing longer-term projects and meeting deadlines

You communicate clearly in writing and conversation and are willing to ask questions when information is incomplete or unclear

You can work independently once trained, while collaborating effectively with Sales and cross-functional partners

You look for practical ways to simplify work, improve organization, and create processes that others can follow

You have experience using Microsoft Excel, Power BI, SPS Commerce, Microsoft PowerPoint, Teams/SharePoint, and applicable ERP or order-management systems.

Experience with retail, wholesale, inventory, SPS Commerce, ERP systems, or data reporting is considered an asset

You are proactive in identifying the root cause of issues and developing solutions

You remain highly flexible and adaptable when faced with ambiguity

You effectively balance autonomy and collaboration

You inspire breakthrough thinking and continuous improvement

You seek the best (sometimes not the easiest) solutions, with an unwavering commitment to do what is right

Your passion for your work is paralleled by your passion for getting outside and living it.

$21.49 - $26.49 an hour 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.

Applications for this position will be accepted until Oct 12 at 9:00am PT. Equal Opportunity Arc’teryx is committed to actively creating and fostering a culture of inclusivity where voices are heard, people are seen, and values are respected. We care about the uniqueness of our applicants, employees, and guests, and we do so in a safe space fueled by curiosity and acceptance. Creating an inclusive workplace is connected to our core value Do Right while also having the added benefit of helping make our business better. We believe inclusion helps us to create a healthier, happier workplace, drive creativity and innovation, and reflect the communities where we operate. All applicants, employees, and guests can expect equality of opportunity and fair treatment in alignment with our values. Leave it Better We believe that the mountains transform us, that how we adventure matters, and that there’s always a better way. Join us in creating positive change in ourselves, our communities, and the world. Live it

. Get out there - the mountains make us better Disruptive evolution

. In pursuit of better. Always. Commit

. We set bold objectives and see them through.