Ecommerce Product Catalog & Research Analyst [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Ecommerce Product Catalog & Research Analyst based in United States.

This role offers the opportunity to take ownership of product data quality and digital merchandising operations within a growing e-commerce environment. You will play a key role in ensuring that product information is accurate, consistent, and optimized across multiple online platforms. Working at the intersection of data analysis, content management, and e-commerce strategy, you will help improve customer experiences and drive better product visibility. The position requires strong attention to detail, analytical thinking, and a passion for improving digital storefront performance. You will collaborate with marketing, content, and operations teams to maintain high-quality catalogs and identify opportunities for optimization. This is an ideal opportunity for an experienced e-commerce professional who enjoys working with data, processes, and continuous improvement initiatives.

Accountabilities

• Manage and maintain product catalog accuracy across multiple e-commerce platforms and internal content management systems.
• Review, update, and optimize product titles, descriptions, images, metadata, and categorization according to SEO standards and platform-specific requirements.
• Conduct regular product listing audits to identify inaccuracies, inconsistencies, missing information, or merchandising issues.
• Research and resolve catalog errors, mismatches, and data quality issues to ensure a consistent customer experience.
• Support the development and maintenance of product taxonomies, attributes, and SKU structures for new and existing products.
• Collaborate with marketing, content, design, and operational teams to ensure products are represented effectively across digital channels.
• Monitor e-commerce platform updates, competitor activity, and category trends to identify improvement opportunities.
• Analyze catalog performance data and provide insights to support merchandising decisions and optimization strategies.
• Contribute to improving catalog processes, workflows, and automation initiatives.

Requirements

• Bachelor’s degree in Business, Marketing, E-commerce, Data Analysis, or a related field.
• 5–7 years of experience in product catalog management, e-commerce operations, digital merchandising, or a similar analytical/content-focused role.
• Hands-on experience working with e-commerce platforms such as Amazon Seller Central, Flipkart Seller Hub, Shopify, Magento, or similar solutions.
• Familiarity with content management systems and digital product data workflows.
• Strong attention to detail and ability to manage large volumes of product information with accuracy and consistency.
• Good understanding of SEO principles, product taxonomy, metadata optimization, and online merchandising best practices.
• Proficiency in Excel or Google Sheets, with the ability to analyze and interpret product data.
• Strong organizational and problem-solving skills with the ability to prioritize multiple tasks.
• Excellent written and verbal communication skills.
• Experience with PIM systems, catalog automation tools, or product information workflows is considered an advantage.
• Familiarity with analytics tools such as Google Analytics or Data Studio for monitoring product performance is a plus.

Benefits

• Competitive compensation package based on experience and qualifications.
• Opportunity to work in a dynamic e-commerce environment with exposure to global digital platforms.
• Flexible working arrangements and a modern, collaborative work environment.
• Opportunities to contribute to impactful catalog optimization and digital merchandising initiatives.
• Professional growth opportunities through hands-on experience with e-commerce technologies and processes.
• Collaboration with cross-functional teams across marketing, content, and operations.
• Access to tools and systems that support efficient remote and digital workflows.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.