Product Information Analyst

As a Product Information Analyst, you ensure product data is accurate, complete, and operationally ready across the merchandising lifecycle. You enable scalable data management and decision making by maintaining high-quality product information that translates business inputs into structured, system-ready data. This role is a critical connector across Design, Product Development, Merchandising and Supply Chain teams, ensuring product data flows seamlessly from concept to launch.

As you evolve in role, you leverage the data entered to generate reporting and insights that inform the assortment and enable better business decisions.

This role is based out of our North Vancouver office and is open to hybrid work. Candidates must be eligible to work in Canada.

Meet Your Future Team:
The Process Operations organization sits at the heart of the Arc’teryx end-to-end value chain, leading enterprise-wide alignment, 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 teams 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.

Core Responsibilities:

Participating in key Innovation to Customer (I2C) milestones between Design, Product Development, and Merchandising teams

Creating, maintaining, and validating Model and SKU-level data in Merchandising and PLM systems

Ensuring completeness and accuracy of product attributes across the full lifecycle - from raw materials to finished goods

Executing and auditing seasonal data loads and updates in alignment with key Design, Development, Merchandising, and Planning team milestones

Creating and enforcing data standards, naming conventions, and attribute definitions

Identifying, communicating, and resolving data inconsistencies, gaps, and errors

Partnering with cross-functional teams to improve data integrity and reduce rework

Collaborating with Product Line Managers, Regional Merchants, Product Developers and Business Planners to capture and maintain accurate product information

Surfacing and resolving anomalies and edge cases related to attribution, hierarchy, and key measures

Translating your category’s business processes, seasonal strategy, and product inputs into structured system data

Acting as a subject matter expert on product data and business processes by championing issues and opportunities between Product Creation, Operations, and Technology teams

Ensuring market readiness by ensuring product data is complete and system ready

Monitoring deadlines to ensure timely delivery of all data milestones

Identifying opportunities to streamline workflows and improve efficiency

Contributing to documentation, training, and continuous improvement initiatives

Supporting implementation of data governance frameworks and tooling enhancements

Future Opportunities:

Acting as a data steward for your assigned category, owning the quality, structure, and usability of product data

Briefing in requirements for enhancing our analytics data platform to serve use cases for reporting, self‑service tools, pre‑configured dashboards, and modern query interfaces

Researching, identifying, and translating offline product attribution to systems‑ready definitions and partnering with Technology teams to enable and scale where appropriate

Contributing to the redesign of Merchandising hierarchies across ERP systems, attributes, and taxonomies to improve data quality, searchability and analytics usefulness

Using tools such as SQL, Python, Tableau, Power BI (DAX) and Excel to develop and test analytics solutions in a sandbox environment

Partnering with Technology teams to push the most useful solutions to production and…