E-commerce Product Catalog & Research Analyst
Location
Poland
Posted
9 days ago
Salary
0
Seniority
Mid Level
No structured requirement data.
Job Description
E-commerce Product Catalog & Research Analyst
Uvation
Role Description We are looking for a detail-oriented and analytical E-commerce Product Catalog & Research Analyst to manage the integrity, accuracy, and quality of product data across various e-commerce platforms and internal CMS tools. The ideal candidate will play a key role in maintaining high standards for catalog content, optimizing product listings for SEO, and supporting the digital merchandising strategy through continuous research and analysis. - Oversee product catalog data integrity across e-commerce platforms and internal content management systems (CMS). - Review and enhance product titles, descriptions, images, metadata, and categorization to ensure alignment with SEO best practices and platform-specific requirements (Amazon, Flipkart, Shopify, etc.). - Conduct regular audits of product listings to ensure design, content, and merchandising accuracy. - Identify and correct listing errors, inconsistencies, or mismatches across platforms. - Collaborate with cross-functional teams including marketing, content, and design to ensure high-quality product representation. - Stay updated on platform policies, competitor listings, and category trends to inform catalog improvements. - Research and analyze catalog performance metrics to support decision-making and optimization strategies. - Assist in building and maintaining product taxonomies and attribute structures for new and existing SKUs. Qualifications - Bachelor's degree in Business, Marketing, E-commerce, or a related field. - 5-7 years of experience in product catalog management, e-commerce operations, or a similar analytical/content role. - Familiarity with e-commerce platforms (Amazon Seller Central, Flipkart Seller Hub, Shopify, Magento etc.) and CMS tools. - Strong attention to detail, organizational skills, and ability to handle large volumes of product data. - Good understanding of SEO, product taxonomy, and digital merchandising best practices. - Proficiency in Excel/Google Sheets and basic data analysis. - Excellent written and verbal communication skills. Requirements - Experience working with PIM systems or catalog automation tools. - Exposure to analytics tools (Google Analytics, Data Studio) for tracking product performance.
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