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Jobgether

Ecommerce Product Catalog & Research Analyst

Jobgether

Remote · À temps plein

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Expérience
5 à 7 ans
Salaire
Ouvertures
1
Publié
il y a 16 heures
Mode de travail
Travaillez à domicile
Éducation
licence
CV
Candidature requise

Description de l'emploi

Role Overview

We are looking for an Ecommerce Product Catalog & Research Analyst based in Canada who will play a pivotal role in overseeing product data quality and digital merchandising within a growing e-commerce environment. The position demands a sharp eye for detail, analytical mindset, and a passion for enhancing digital storefront effectiveness. You will ensure that product information is accurate, uniform, and optimized across various online platforms, collaborating with teams across marketing, content, and operations to improve customer experience and boost product visibility.

Key Responsibilities

  • Ensure accuracy of product catalogs across diverse e-commerce platforms and content management systems.
  • Optimize product information including titles, descriptions, images, metadata, and categorization aligned with SEO and platform-specific standards.
  • Conduct frequent audits of product listings to uncover errors, inconsistencies, or missing details.
  • Investigate and rectify errors and mismatched data to maintain consistent customer experiences.
  • Help develop and refine product taxonomies, attributes, and SKU systems for both existing and new products.
  • Work closely with marketing, design, content, and operations teams to represent products effectively on digital channels.
  • Stay informed regarding platform updates, competitor activities, and category trends to spot opportunities for improvement.
  • Analyze catalog performance metrics to provide actionable insights supporting merchandising decisions and optimization efforts.
  • Support enhancements in catalog workflows, processes, and automation initiatives.

Qualifications and Experience

  • Bachelor's degree in Business, Marketing, E-commerce, Data Analysis, or related disciplines.
  • Between 5 and 7 years experience in product catalog management, e-commerce operations, digital merchandising, or related analytical/content roles.
  • Practical knowledge of e-commerce platforms, such as Amazon Seller Central, Flipkart Seller Hub, Shopify, Magento, or equivalents.
  • Experience with content management systems and digital product data processes.
  • Exceptional attention to detail with the capacity to handle large datasets accurately and consistently.
  • Sound knowledge of SEO practices, product taxonomy, metadata optimization, and online merchandising.
  • Proficiency in Excel or Google Sheets for data analysis and interpretation.
  • Excellent organizational, problem-solving, and multitasking skills.
  • Strong written and verbal communication abilities.
  • Familiarity with PIM systems or catalog automation tools is an advantage.
  • Experience with analytics tools like Google Analytics or Data Studio is beneficial.

Compensation and Benefits

  • Competitive salary package reflecting experience and qualifications.
  • Work within a vibrant e-commerce environment with global digital platform exposure.
  • Flexible work arrangements and a collaborative, modern environment.
  • Opportunities to participate in impactful catalog optimization and digital merchandising projects.
  • Chance to develop professionally through hands-on experience with various e-commerce technologies and workflows.
  • Collaboration with diverse teams including marketing, content, and operations.
  • Access to efficient remote working tools and digital systems.

Additional Information

This opportunity is facilitated by a partner organization responsible for application management and further recruitment steps. The role leverages AI-driven matching technology to assist candidate screening, ensuring a fair and rapid review, with final hiring decisions made internally by the partner company. Candidates should be located in Canada.

Applicants acknowledge that their data will be processed according to applicable data protection laws including GDPR, with transparency regarding AI usage in parts of the hiring process.

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