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E-Commerce Manager
Job Type: Full-time
Work Hours: Monday to Friday, 9:00 AM to 5:30 PM Pacific Time, with a 30-minute break
Salary: $1,000 per month
Job Overview:
We are looking for a Product Information Management (PIM) Specialist to ensure accurate, consistent, and high-quality product data through Excel-based automation and structured data management. The ideal candidate will play a key role in optimizing product information workflows, enhancing operational efficiency, and supporting business growth with a well-maintained catalog.
Key Responsibilities:
- Manage and maintain product data in Excel, ensuring accuracy, completeness, and structure.
- Conduct routine data audits to eliminate errors, inconsistencies, and missing information.
- Maintain product taxonomy, naming conventions, and metadata for better organization.
- Automate data workflows using Excel formulas, data validation, and imports/exports to improve efficiency.
- Identify and mark outdated or obsolete products as discontinued while maintaining a database of active vs. inactive SKUs.
- Ensure product listings are fully optimized with correct attributes and specifications.
- Ensure 99% product data accuracy and completeness through weekly data audits and effective data management processes.
- Complete full product catalogs for the top 10 manufacturers with all required attributes.
- Upload, manage, and update product information on Shopify, ensuring seamless integration and accurate catalog updates.
Qualifications:
- Strong expertise in Excel (formulas, pivot tables, lookups, data validation, automation).
- Experience in data management, governance, and taxonomy classification.
- Understanding of e-commerce platforms and digital asset management.
- Experience with Shopify is a plus (product uploads, data imports/exports, and catalog management).
- Knowledge of ETL (Extract, Transform, Load) & data integration techniques.
- Meticulous & detail-oriented – ensuring data integrity and accuracy.
- Process-driven & tech-savvy – able to create and maintain structured workflows.
- Proactive & adaptable – identifies and addresses potential data errors early.
- Growth-minded – continuously seeks ways to improve data workflows and processes.
- Ability to work independently while following structured workflows and meeting deadlines.