Arc'teryx
Merchandising
ProductInformationAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Product Information Analyst at Arc'teryx. Skills: Product data management, Data governance, Merchandising operations. Participate in Innovation to Customer milestones. Create Model and SKU-level data”
What You'll Achieve.
Improve data integrity; Reduce rework; Ensure market readiness; Ensure timely delivery; Streamline workflows; Improve efficiency; Improve data quality; Improve searchability; Improve analytics usefulness
Industry & Context.
Problem-solving; Data inconsistency resolution; Anomaly resolution; Edge case resolution; Synthesize data; Interpret data; Spot trends; Draw conclusions; Develop recommendations; Influence action; Structure complexity
What They're Looking For.
Must Have
Bachelor's degree or equivalent experience, 2+ years experience in product data management, 2+ years experience in merchandising operations, 2+ years experience in retail, Familiar with managing business operations, Comfortable working at all levels of leadership, Demonstrated ability to synthesize and interpret data, Attention to detail
Nice to Have
General knowledge of Merchandising, General knowledge of Buying, General knowledge of Open to Buy processes, Familiar with product development process, Intellectual curiosity, Continuous improvement mindset, Proactive to identify inefficiencies, Ability to design scalable solutions, Ability to design sustainable solutions, Ability to draw conclusions, Ability to develop recommendations, Ability to influence action, Comfortable with ambiguous environments, Thrive in ambiguous environments, Bring structure to complexity, Exceptional problem-solving skills
What You'll Do.
Participate in Innovation to Customer milestones
Create Model and SKU-level data
Maintain Model and SKU-level data
Validate Model and SKU-level data
Ensure completeness of product attributes
Ensure accuracy of product attributes
Execute seasonal data loads
Execute seasonal data updates
Audit seasonal data loads
Audit seasonal data updates
Create data standards
Enforce data standards
Create naming conventions
Enforce naming conventions
Create attribute definitions
Enforce attribute definitions
Identify data inconsistencies
Communicate data inconsistencies
Resolve data inconsistencies
Communicate data gaps
Communicate data errors
Partner with cross-functional teams
Improve data integrity
Collaborate with Product Line Managers
Collaborate with Regional Merchants
Collaborate with Product Developers
Collaborate with Business Planners
Capture accurate product information
Maintain accurate product information
Translate business processes into system data
Translate seasonal strategy into system data
Translate product inputs into system data
Act as subject matter expert
Champion opportunities
Ensure market readiness
Ensure product data is system ready
Ensure timely delivery of data milestones
Identify opportunities to streamline workflows
Identify opportunities to improve efficiency
Contribute to documentation
Contribute to training
Contribute to continuous improvement
Support implementation of data governance frameworks
Support implementation of tooling enhancements
Own quality of product data
Own structure of product data
Own usability of product data
Brief requirements for analytics data platform
Research offline product attribution
Identify offline product attribution
Translate offline product attribution
Partner with Technology teams
Enable system scaling
Scale system solutions
Contribute to redesign of Merchandising hierarchies
Improve searchability
Improve analytics usefulness
Develop analytics solutions
Test analytics solutions
Push solutions to production
Champion tool adoption
Develop Merchandising analytics education modules
Present Merchandising analytics education modules
How You'll Work.
Team & Collaboration
Cross-functional teams; Product Creation teams; Operations teams; Technology teams; Cross-functional stakeholders; Technical stakeholders; Non-technical stakeholders
Communication Scope
Present ideas; Engage stakeholders
Process & Methodology
Roadmap planning, Milestone tracking
Full Job Description
## If you were in the Product Information Analyst role now, here are some of the core activities you would be doing 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 ## Here are some of the things you could be working on in the future Acting as a data steward for your assigned category, owning the quality, structure, and usability of product data Briefing in requirements for enhancing our
Applying for this Product Information Analyst role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Lever
- Lever uses a streamlined one-page form — apply in under 5 minutes.
- LinkedIn import works well; review parsed data before submitting.
- The cover letter field is optional but visible to reviewers — use it to differentiate.
- Referral codes from employees can significantly boost visibility of your application.
ANONYMOUS · UNFILTERED
What do employees actually say about Arc'teryx?
Real rants from real employees. Read before you apply.