Ecommerce Product Catalog & Research Analyst

Uvation

Ecommerce Product Catalog & Research Analyst

Remote,
Full Time
Paid
  • Responsibilities

    Job Summary:

    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.

    Key Responsibilities:

    • 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.

    Preferred Skills:

    • Experience working with PIM systems or catalog automation tools.
    • Exposure to analytics tools (Google Analytics, Data Studio) for tracking product performance.