Amazon Listing Creation Specialist (Remote)

We are looking for a tech-savvy Amazon Listing Creation Specialist to help create and optimize our product listings on the Amazon platform. With your expertise in Amazon listing and content generation, you will ensure we have accurate and compelling product information, help improve our listing performance, and resolve any listing-related issues. This position will work closely with our Amazon Listing/Copywriting Team, and will report directly to the Amazon Listing Team Lead, and Manager.

Job Type: Temporary Contract of 3 months (with options for permanent, long-term based on satisfactory performance).

Key Duties and Responsibilities:

• Create and optimize product listings using Amazon’s Flat File template. Accurately enter product information, including titles, descriptions, bullet points, attributes, and other required details, and ensure compliance with Amazon’s guidelines and best practices.
• Identify and resolve any issues or errors related to product listings, such as missing or incorrect information, formatting problems, or compatibility issues. 
• Collaborate with relevant teams to address and rectify any listing-related challenges.
• Craft compelling and persuasive product titles, descriptions, bullet points, and other content within the Flat File framework. Your content should effectively highlight the product’s features, benefits, and unique selling points, while adhering to Amazon’s guidelines and optimizing for search visibility.
• Conduct comprehensive keyword research to identify relevant search terms and integrate them strategically within the Flat File listings. 
• Ensure the content is search engine optimized to enhance visibility, organic ranking, and overall search performance.
• Monitor regularly the performance of product listings, analyze data, and generate actionable insights to enhance conversion rates, sales, and overall listing performance. Utilize tools and metrics to track keyword rankings, conduct competitor analysis (utilize A/B Testing), and ensure the health and success of the listings.
• Overall conduct image and media optimization, performance tracking, process automation, and utilize AI & Chat-GPT.

Experience and Qualities we look for:

• Able to demonstrate with 2 to 3 years experience as Amazon Listing Specialist or related roles.
• Proficiency in using Amazon’s Flat File system for listing creation and optimization is preferred.
• Solid understanding of SEO principles and best practices for optimizing product listings.
• Proficiency in conducting keyword research using relevant tools and techniques.
• Proficient with Jungle Scout, DataDive, Helium 10, and other keyword research tools.
• Self-motivated and capable of working independently with minimal supervision.
• Strong organizational and time management skills to handle multiple projects and meet deadlines.
• Strong team player with the ability to collaborate effectively with cross-functional teams.
• Experience leading a team is desirable.
• Openness to receiving and implementing constructive feedback.
• Able to manage daily tasks effectively to maximize productivity.
• Ability to build strong relationships at all levels throughout an organization in a collaborative and multicultural environment.
• Experience working on various projects and growth initiatives is desirable.
• Responsive, prompt and positively communicates with peers using avenues such as email, group chat or other messaging platforms.
• Possess rigorous attention to detail and impeccable work ethics.
• Able to work in the Eastern Standard Time Zone (UTC-05:00).
• Has a conducive work-from-home setup and a stable internet connection for team meetings.
• Excellent written and verbal communication skills in the English language.
• Proficient in Microsoft Excel/Google Sheets.
• Familiarity with online meeting applications like Google Meets and Zoom.

Bonus points:

• E-commerce experience (eBay, Walmart, Etsy, Shopify, etc.)
• Familiarity with Slack, Hubstaff and Google Suite.
• Degree in Business Administration, Marketing, Supply Chain, Computer/Information Technology/Industrial Engineering, or any related courses.
  
  Apply URL:
  https://adr.to/qtft2ai

**Important** Please apply with your resume showing relevant work experience as well as any project files demonstrating results.