Job Overview: 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.