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. Job Description: 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): Education(s): Work Experience: Skill(s): Language(s): Certification(s): Not Applicable The anticipated compensation range is 21.50 - 39.75 USD Hourly 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. 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. KISS Beauty Group is a global platform dedicated to creating exceptional solutions for effortless beauty. For more than three decades, we have helped transform how people engage with beauty-bringing professional-quality innovation into everyday life and making it accessible to millions of consumers around the world. Today, our brands reach consumers in over 100 countries, inspiring confidence, creativity, and self-expression. At the heart of the group is a simple belief: beauty belongs to everyone. When people feel free to celebrate their own beauty, beauty becomes more meaningful, more joyful, and more inclusive. Kiss Beauty Group brings together a portfolio of beauty brands-including KISS, imPRESS, Falscara, and more-that share a common purpose: helping people everywhere celebrate their beauty. "Kiss Beauty Group" is a collective brand identity referring to a portfolio of beauty brands operated by affiliated companies. Each company operates as a separate legal entity and is responsible for its own employment and contractual obligations.

Amazon Data Analyst.

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