Ecommerce Product Catalog & Research Analyst

About the Role

This role is provided on behalf of a partner company based in the United Arab Emirates that manages all follow-up and application steps. As an Ecommerce Product Catalog & Research Analyst, you will own product data quality and oversee digital merchandising activities within a growing e-commerce setting. Your primary focus will be maintaining accurate, consistent, and optimized product details across various online channels, improving customer experiences and enhancing product visibility. This position blends data analysis, content administration, and e-commerce strategies, requiring meticulous attention to detail, analytical mindset, and dedication to digital storefront enhancement. Collaboration with marketing, content, and operational teams will be key in upholding superior catalog quality and identifying areas for improvement. This offers a great opportunity for an experienced e-commerce specialist passionate about data-driven continuous improvement.

Key Responsibilities

• Ensure the accuracy and upkeep of product catalogs across multiple e-commerce platforms and internal content management systems.
• Update, review, and optimize product titles, descriptions, images, metadata, and product categorization following SEO best practices and platform requirements.
• Perform routine product listing audits to detect inaccuracies, inconsistencies, missing data, or merchandising problems.
• Investigate and rectify catalog discrepancies and data quality concerns to maintain a seamless customer experience.
• Assist in developing and maintaining product taxonomies, attributes, and SKU configurations for both new and existing products.
• Work jointly with marketing, content, design, and operations teams to represent products effectively on digital platforms.
• Keep abreast of e-commerce platform developments, competitor activities, and category trends to suggest enhancement opportunities.
• Analyze catalog data performance and offer actionable insights to aid merchandising and optimization initiatives.
• Participate in refining catalog management processes, workflow improvements, and automation projects.

Required Qualifications

• Bachelor's degree in Business, Marketing, E-commerce, Data Analysis, or a related discipline.
• 5 to 7 years of experience in product catalog management, e-commerce operations, digital merchandising, or related analytical/content roles.
• Practical experience with e-commerce platforms such as Amazon Seller Central, Flipkart Seller Hub, Shopify, Magento, or similar.
• Knowledge of content management systems and digital product data workflows.
• Exceptional attention to detail with the ability to manage substantial product information volumes accurately.
• Understanding of SEO principles, product taxonomies, metadata optimization, and e-commerce merchandising strategies.
• Proficiency with Excel or Google Sheets for analyzing and interpreting product data.
• Strong organizational and problem-solving skills with capability to prioritize multiple responsibilities.
• Excellent communication skills in both written and verbal formats.
• Experience with PIM systems, catalog automation tools, or product information workflows is advantageous.
• Familiarity with analytics platforms like Google Analytics or Data Studio for product performance monitoring is a plus.

Benefits and Work Environment

• Competitive salary package commensurate with experience and qualifications.
• Work in a vibrant e-commerce environment with access to global digital marketplaces.
• Flexible working options alongside a modern, collaborative workplace culture.
• Opportunities to contribute meaningfully to catalog optimization and digital merchandising projects.
• Professional development through hands-on experience with e-commerce tools and workflows.
• Collaboration with multifunctional teams in marketing, content, and operations.
• Access to efficient remote work systems and digital tools supporting productivity.

Additional Information

The hiring company handles all proceeding recruitment stages, including interviews and assessments. Application reviews utilize AI-powered matching technology to ensure fair and quick consideration based on key qualifications, with ultimate hiring decisions made by humans.

Applicants' data will be processed in accordance with applicable privacy regulations, including GDPR, and may involve AI tools to assist recruitment but without replacing human decision-making.