Amazon Revenue Operations Analyst (Ecommerce)

TL;DR

Amazon Revenue Operations Analyst (Ecommerce): Leading the creation of comprehensive Amazon brand audits for prospective clients with an accent on growth strategy, advertising effectiveness, and storefront optimization. Focus on building scalable audit frameworks and translating complex marketplace data into actionable growth narratives.

Location: Remote (Global). Working hours: 9am - 5pm Eastern Time

Company

hirify.global is a data-driven organization specializing in Amazon brand audits and growth strategies for e-commerce clients.

What you will do

• Analyze internal Amazon brand data, including business reports, API feeds, and advertising metrics (Sponsored Products, Brands, Display).
• Deliver approximately 100 comprehensive brand audits annually using a structured 35-slide framework.
• Identify performance gaps across revenue growth, conversion, traffic, catalog structure, and inventory efficiency.
• Optimize the audit model and build scalable processes, including dashboards and data pipelines.
• Collaborate with Sales and Strategy teams to translate audit findings into compelling growth narratives for prospects.

Requirements

• 3–6+ years of experience in Amazon marketplace analytics, e-commerce strategy, or Revenue Operations.
• Deep expertise in Amazon Seller/Vendor Central and the Amazon advertising ecosystem.
• Strong proficiency in Excel or Google Sheets; SQL is preferred.
• Ability to perform P&L modeling and calculate contribution margins.
• Experience handling large datasets and translating them into executive-level storytelling.
• Availability to work 9am - 5pm Eastern Time.

Nice to have

• Background working with Amazon agencies or aggregators.
• Experience building performance scorecards or audit frameworks.
• Familiarity with BI tools such as Looker, Tableau, or Power BI.
• Basic understanding of automation tools and data workflows.

Culture & Benefits

• Full remote work flexibility with a global team.
• Opportunities to shape the role and grow within an innovative, data-centric culture.
• Emphasis on work-life balance.