Amazon Data Analyst
- Pay
- $22 – $40 per hour
- Location
- United States
- Listed
- 3 days ago
Job Description Summary
The Amazon Data Analyst will support data-driven decision-making across our Amazon business. This role is responsible for building reporting infrastructure, analyzing business performance, and transforming complex marketplace data into actionable insights that guide strategy across sales, advertising, and inventory planning.
Key Responsibilities
- Analyze Amazon sales, traffic, conversion, advertising, inventory, pricing, and profitability to uncover trends, risks, and growth opportunities.
- Build and maintain dashboards and reporting tools to track Amazon business KPIs including sales, conversion, ACOS, ROAS, and inventory health.
- Leverage Amazon Seller/Vendor Central, Brand Analytics, third-party platforms, and internal data to generate actionable business insights.
- Conduct product, category, and SKU-level analysis to evaluate performance, profitability, and growth potential
- Analyze advertising and promotional performance to assess efficiency and overall business impact.
- Develop forecasting models to support sales planning, demand forecasting, and inventory management.
- Prepare monthly business reviews and translate complex data into clear recommendations for leadership and cross-functional stakeholders.
- Partner with Amazon Business, Finance, Marketing, and Supply Chain teams to drive data-informed decisions, while improving reporting automation and data accuracy
Qualifications
- Bachelor's degree in Data Science, Statistics, Business Analytics, Economics, or related field
- 3-5+ years of experience in data analysis, business intelligence, or analytics roles, ideally within e-commerce or Amazon
- Advanced proficiency in Excel and experience with BI tools such as Power BI or Tableau.
- Experience with SQL for data extraction and manipulation
- Understanding of eCommerce metrics including traffic, conversion, sales, margin, advertising performance, and inventory.
- Strong attention to detail, problem-solving, and communication skills.
Preferred Qualifications
- Experience with Amazon Marketing Stream or Selling Partner API (SP-API)
- Knowledge of Python or R for data analysis and automation
- Experience in beauty, CPG, or retail industry
Qualification(s)
Language(s)
- Certification(s): Not Applicable
- The anticipated compensation range is
- 21.50 - 39.75 USD Hourly
Pay and benefits
Actual compensation will be determined based on various factors including qualifications, education, experience, and location. The pay range is subject to change at any time dependent on a variety of internal and external factors.
Equal opportunity and legal notices
Kiss Nail Products, Inc., KDC GA Corp., Ivy Enterprises, Inc., AST Systems, LLC, Red Beauty, Inc., or Dae Do, Inc. (collectively, the "Company") is an equal opportunity employer and is committed to a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, or any other characteristic protected by law.
From Kissusa's careers page, first listed on Rolev.ai on November 6, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Amazon Data Analyst role at Kissusa?
The Amazon Data Analyst posting at Kissusa states compensation of $22 – $40 per hour. Final pay may depend on location, experience, and interview evaluation on Kissusa's official career site.
Where is the Amazon Data Analyst job at Kissusa located?
This Amazon Data Analyst position at Kissusa is located in United States. Always check Kissusa's application page for specific state eligibility or relocation policies.
How do I apply for the Amazon Data Analyst position at Kissusa?
This listing links directly to Kissusa's Workday application page. You can apply directly on Kissusa's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Workday application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.