Jobgether

Ecommerce Product Catalog & Research Analyst

Jobgether

Remote · Full Time

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Experience
5–7 yrs
Salary
Openings
1
Posted
8 hours ago
Work mode
Work from home
Education
Bachelor’s degree
Resume
Required to apply

Job description

Overview

This role serves as an Ecommerce Product Catalog & Research Analyst within a growing e-commerce company based in Australia. The position centers on ensuring the accuracy, consistency, and optimization of product information across various online platforms, enhancing the digital merchandising efforts to improve customer experience and product visibility. It requires an analytical mindset, meticulous attention to detail, and a commitment to enhancing digital storefront performance through collaboration with marketing, content, and operations teams.

Key Responsibilities

  • Oversee and maintain accurate product catalogs on multiple e-commerce sites and internal content management systems.
  • Optimize product titles, descriptions, images, metadata, and categories according to SEO and platform requirements.
  • Perform regular audits of product listings to detect and resolve inaccuracies or missing information.
  • Investigate and correct catalog errors and data inconsistencies to deliver a uniform shopping experience.
  • Assist in developing and managing product taxonomies, attributes, and SKU arrangements for both new and existing products.
  • Work jointly with marketing, content, design, and operations teams to effectively present products across digital channels.
  • Keep abreast of platform updates, competitor moves, and category trends to spot opportunities for improvement.
  • Analyze product catalog performance data and provide actionable insights for merchandising decisions.
  • Help enhance catalog workflows and automation processes.

Qualifications and Experience

  • Bachelor’s degree in Business, Marketing, E-commerce, Data Analysis, or a related discipline.
  • Five to seven years of experience in product catalog management, e-commerce operations, digital merchandising, or related analytical and content roles.
  • Practical knowledge of e-commerce platforms such as Amazon Seller Central, Flipkart Seller Hub, Shopify, Magento, or similar.
  • Experience with content management systems and digital product data handling workflows.
  • Exceptional attention to detail and ability to handle large volumes of product data with precision.
  • Solid understanding of SEO tactics, product taxonomy, metadata optimization, and online merchandising methods.
  • Proficiency with Excel or Google Sheets for analyzing and interpreting product data.
  • Strong organizational, prioritization, and problem-solving abilities.
  • Excellent verbal and written communication skills.
  • Familiarity with PIM systems, catalog automation, or product information workflows is advantageous.
  • Experience with analytics tools like Google Analytics or Data Studio to monitor product performance is a plus.

Benefits

  • Competitive salary depending on experience and qualifications.
  • Work environment that is dynamic and focused on global digital commerce platforms.
  • Flexible working options with a modern, collaborative culture.
  • Opportunity to influence and improve catalog optimization and merchandising strategies.
  • Chance for professional development through exposure to diverse e-commerce technologies and processes.
  • Collaboration with multidisciplinary teams including marketing, content, and operations.
  • Access to advanced tools and systems that support efficient remote and digital working workflows.

Additional Information

The recruitment process utilizes AI-driven candidate matching to ensure fair and prompt consideration against the job's core criteria. Final hiring decisions and subsequent interview steps are managed exclusively by the employer. Applicants are advised that their personal data will be handled in compliance with relevant data protection laws and may be processed using AI tools as part of the evaluation process. Human judgment remains central in finalizing employment decisions.

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