Amazon Ecommerce Merchandiser

About the Role

We are seeking a results-driven eCommerce Merchandiser with advanced expertise in Amazon sales strategies and Amazon Vendor Central operations to join our rapidly expanding team. This full-time, remote position is designed for motivated professionals eager to build a long-term career in eCommerce, driving impactful growth across Amazon’s platform and optimizing the entire digital retail experience.

The ideal candidate will possess strong analytical acumen, strategic problem-solving skills, and a deep understanding of Amazon’s ecosystem, including product listing optimization, Buy Box management, and A+ Content strategy. In this role, you will own and manage a portfolio of product categories within Amazon Vendor Central, with direct responsibility for driving sales growth, maximizing profit margins, and ensuring high-quality product visibility.

You will collaborate cross-functionally with teams in Marketing, Product Development, and Supply Chain to refine pricing strategies, optimize promotional activities, prevent stockouts, and ultimately increase sales velocity and profitability on the Amazon marketplace.

• Own day-to-day merchandising and performance optimization within Amazon Vendor Central, driving sustained buy box ownership, conversion rate growth, and sales velocity through ongoing refinement of titles, bullets, A+ Content, imagery, specs, and pricing.
• Develop and execute data-driven promotional strategies leveraging Amazon tent-pole events (Prime Day, Peak, Deal Events) and seasonal trends, measuring impact through ROAS, contribution margin, and incremental lift.
• Partner cross-functionally with Product Development and Supply Chain to support new item launches, ensuring retail readiness, optimized content, accurate forecasts, and alignment with consumer demand insights.
• Monitor competitive landscape and category performance, using real-time data to adjust pricing, content, and promotional levers to maintain search visibility and category leadership.
• Conduct ongoing performance analysis to improve traffic, conversion, and inventory health, proactively identifying risks and opportunities within Amazon’s ecosystem.

• Collaborate closely with Paid Search and Media teams to align SEO, content strategy, and retail media investments, using performance insights to improve discoverability and conversion across key keywords and categories.
• Analyze sales, traffic, and pricing trends using Amazon Retail Analytics, Brand Analytics, and third-party tools, translating insights into actionable merchandising and optimization strategies.
• Support strategic merchandising and revenue planning by leveraging predictive analytics, historical sales data, and promotional learnings to drive profitable growth.
• Ensure data integrity and content accuracy across Amazon listings by maintaining clean item setup, resolving catalog issues, and minimizing discrepancies that impact conversion or discoverability.
• Act as a key stakeholder in identifying and implementing site merchandising opportunities, including content enhancements, deal participation, and visibility-driving initiatives.

• Bachelor’s degree in Business, Marketing, Communications, or related field.
• 2+ years of hands‑on Amazon eCommerce experience, with direct exposure to Amazon Vendor Central (or Seller Central) and day-to-day catalog, content, and performance management.
• Strong analytical skills with advanced proficiency in Microsoft Excel, including the ability to analyze large data sets and translate insights into action.
• Proven ability to manage multiple priorities in a fast‑paced retail environment, with exceptional attention to detail, organization, and time management.
• Self‑starter with a continuous improvement mindset, comfortable testing, learning, and optimizing within Amazon’s evolving ecosystem.
• Excellent written and verbal communication skills, with the ability to collaborate cross‑functionally and clearly present performance insights.

• Experience using Amazon-native and third‑party tools such as Amazon Brand Analytics,…