Your Opportunity at ARC’TERYX:
As a Product Information Analyst, you are responsible for ensuring product data is accurate, complete, and operationally ready across the Merchandising Lifecyle. You enable scalable data management and decision making by maintaining high-quality product information and translating business inputs into structured, system-ready data. This role is a critical connector across Design, Product Development, Merchandising and Supply Chain, ensuring product data flows seamlessly from concept to launch. You are responsible for inputting the data and, as you evolve the role, leveraging the data to generate reporting and insights that inform the assortment and enable better business decisions.
This role is based out of our Portland office and is expected to be performed on location.
Meet Your Future Team:
The Process Operations organization sits at the heart of Arc’teryx’s end-to-end value chain, leading enterprise-wide alignment and advancing a culture of radical collaboration. The Product Data & Analytics team, a new function within Process Operations, is the central authority and gatekeeper for seasonal product data. We are responsible for transforming data management from a necessary task to an enterprise capability, resulting in a portfolio of data products that enable better decisions from concept to guest. We partner with Technology, Product Creation, Merchandising and Master Data to evolve our governance model, modernize tooling, and embed KPI-led performance management into our end-to-end value chain. You will be at the forefront of these efforts, helping to shape the vision, operating model and execution of our initiatives.
If you were in the Product Information Analyst role now, here are some of the core activities you would be doing:
- Participate in key go-to-market milestones between Design, Product Development, and Merchandising.
- Create, maintain, and validate Model and SKU-level data in Merchandising and PLM systems.
- Ensure completeness and accuracy of product attributes across the full lifecycle – from raw materials to finished goods.
- Execute and audit seasonal data loads and updates in alignment with key Design, Development, Merchandising, and Planning milestones.
- Create and enforce data standards, naming conventions, and attribute definitions.
- Identify, communicate, and resolve data inconsistencies, gaps, and errors.
- Partner with cross-functional teams to improve data integrity and reduce rework.
- Collaborate with Product Line Managers, Regional Merchants, Product Developers and Business Planners to capture and maintain accurate product information.
- Surface and resolve anomalies and edge cases related to attribution, hierarchy, and key measures.
- Translate your category’s business processes, seasonal strategy, and product inputs into structured system data.
- Act as a subject matter expert on product data and business processes by championing issues and opportunities between Product Creation, Operations, and Technology teams.
- Ensure market readiness by ensuring product data is complete and system ready.
- Monitor deadlines and ensure timely delivery of all data milestones.
- Identify opportunities to streamline workflows and improve efficiency.
- Contribute to documentation, training, and continuous improvement initiatives.
- Support implementation of data governance frameworks and tooling enhancements.
Here are some of the things you could be working on in the future:
- Act as a data steward for your assigned category, owning the quality, structure, and usability of product data.
- Brief in requirements for enhancing our analytics data platform to serve use cases for reporting, self-service tools, pre-configured dashboards, and modern query interfaces.
- Research, identify, and translate offline product attribution to systems-ready definitions and partner with Technology teams to enable and scale these where appropriate.
- Contribute to the redesign of Merchandising hierarchies, attributes, and taxonomies to improve data quality, searchability and analytics usefulness across ERP systems.
- Use tools such as SQL, Python, Tableau, Power BI (DAX) and Excel to develop and test analytics solutions in a sandbox environment.
- Partner with Technology to push the most useful solutions to production and champion tool adoption amongst your user base through business-friendly documentation and ongoing training and education.
- Develop and present Merchandising analytics education modules in partnership with your Process Operations functional leaders.
Are you our next Product Information Analyst?
- Bachelor’s degree or equivalent experience in Business, Information Systems, or a related field.
- 2-5+ years of experience in product data management, Merchandising Operations, or a related function.
- Familiarity or direct experience with managing business operations in Direct-to-Consumer Retail, Wholesale or E-com.
- General knowledge of Merchandising, Buying or Open to Buy processes.
- Proven ability to synthesize and interpret data, spot trends, draw conclusions, develop recommendations, and influence action.
- Comfort with ambiguous, fast-growth, entrepreneurial environments.
- Strong intellectual curiously and a continues improvement mindset.
- Proactive identification of inefficiencies and a demonstrated ability to design scalable, sustainable solutions.
- Effective communication across technical and non-technical stakeholders.
- Thrives in ambiguous environments and brings structure to complexity.
- Exceptional problem-solving skills with a strong attention to detail.
- Deep expertise in Excel required.
- Experience working with a PLM or a home-grown Merchandising system preferred.
- Experience working with ERP platforms (e.g., SAP) and adjacent systems such as supply planning (e.g., o9), and product information management systems (e.g., Akeneo) preferred.
- Experience using SQL, Python, Tableau, Power BI (DAX), and other analytics query tools preferred.
- Experience using Miro, Confluence, Smartsheet, and other project management tools preferred.
Compensation:
Most new team members join between the start and midpoint of the range, where you can contribute right away while continuing to grow your craft, your collaborations, and your impact at Arc’teryx. This range reflects market alignment and the scope of the role. Individual pay is determined by your skills, experience, and level of responsibility.
We’re committed to fair, equitable, and competitive pay, reviewed regularly to ensure internal alignment and market relevance. Transparency is part of how we follow through on our commitments and how we honour the value you bring to our team.
In addition to base pay, Arc’teryx supports people through benefits designed to sustain both work and life:
- Health & wellbeing - Extended health, dental, and vision coverage, including mental health support, fertility benefits, and a 24/7 Employee Assistance Program (EAP).
- Financial wellbeing - Immediately vested 401(k) retirement savings plan matching, eligibility for Arc'teryx Annual Incentive Plan and access to Employee Stock Purchase program (ESPP) where applicable.
- Time & Flexibility - Paid time off and No Wasted Day program (dedicated paid days to get outside & explore).
- Family support - Parental leave for birthing and on-birthing parents, including an option to ease the transition back to work.
- Growth, community & gear - Professional development opportunities, Arc'teryx Academies (outdoor skill-building events), Employee Belonging Councils, and access to employee discounts and Pro Deals (exclusive discounted pricing on gear).
*Eligibility for certain programs may vary by role.
Skills Required
- Bachelor's degree or equivalent experience in Business, Information Systems, or related field
- 2-5+ years of experience in product data management, merchandising operations, or related function
- Deep expertise in Excel
- Familiarity or direct experience managing business operations in Direct-to-Consumer Retail, Wholesale, or E-commerce
- General knowledge of merchandising, buying, or open-to-buy processes
- Proven ability to synthesize and interpret data, identify trends, and develop recommendations
- Effective communication across technical and non-technical stakeholders
- Exceptional problem-solving skills with strong attention to detail
- Work performed on location in the Portland office
- Experience working with a PLM or home-grown merchandising system
- Experience with ERP platforms (e.g., SAP), supply planning (e.g., o9), and product information management systems (e.g., Akeneo)
- Experience using SQL, Python, Tableau, Power BI (DAX), and other analytics/query tools
- Experience using Miro, Confluence, Smartsheet, or other project management tools
What We Do
Arc’teryx is a global design company based in North Vancouver, B.C. that specializes in technical high-performance outerwear and equipment. We design and manufacture a wide range of mountain sports outdoor apparel and equipment for all conditions and experiences, including mountaineering, ice and rock climbing, skiing, snowboarding, and trail running. Our company is built on a passionate and relentless commitment to design, craftsmanship and performance. We have a unique construction process that enables us to create technical products that can be trusted to perform at the point of extreme need. We are uniquely positioned in our industry as we have our own factory located in New Westminster, BC, which enables us to build products with a meticulous focus on detail and performance. We leverage this manufacturing knowledge and share it with our global partner factories. In the Coast Mountain Range behind our headquarters and design centre in North Vancouver, we field test our products in real world conditions allowing us to create the best-fitting, longest-lasting, highest-performing technical products available. We distribute our outerwear and equipment through more than 3,000 retail locations worldwide, in over 40 countries globally, including 38 branded and outlet stores in Europe, North America and Asia. The company started with six employees in 1989 and now has more than 1000 employees in Canada.
