
Data Analyst
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in New York, +1 more state.
• Examine Amazon sales, traffic, conversion rates, advertising efforts, inventory levels, pricing strategies, and profitability to identify trends, risks, and growth potential.
• Create and manage dashboards and reporting tools that monitor Amazon business KPIs, such as sales figures, conversion rates, ACOS, ROAS, and inventory health.
• Utilize Amazon Seller/Vendor Central, Brand Analytics, third-party platforms, and internal data to produce actionable business insights.
• Perform analysis at the product, category, and SKU levels to assess performance, profitability, and growth opportunities.
• Evaluate advertising and promotional effectiveness to determine efficiency and overall business impact.
• Develop forecasting models to assist with sales planning, demand forecasting, and inventory management.
• Compile monthly business reviews and convert complex data into actionable recommendations for leadership and cross-functional stakeholders.
• Collaborate with Amazon Business, Finance, Marketing, and Supply Chain teams to foster data-driven decisions while enhancing reporting automation and data accuracy.
• Bachelor’s degree in Data Science, Statistics, Business Analytics, Economics, or a related discipline.
• 3-5+ years of experience in data analysis, business intelligence, or analytics positions, preferably in e-commerce or Amazon.
• Advanced skills in Excel and familiarity with BI tools like Power BI or Tableau.
• Proficient in SQL for data extraction and manipulation.
• Understanding of eCommerce metrics such as traffic, conversion, sales, margins, advertising performance, and inventory management.
• Strong attention to detail, problem-solving abilities, and effective communication skills.
• Preferred: Experience with Amazon Marketing Stream or Selling Partner API (SP-API).
• Preferred: Knowledge of Python or R for data analysis and automation.
• Preferred: Background in the beauty, consumer packaged goods (CPG), or retail sectors.
• Competitive salary and performance-based incentives.
• Opportunities for professional growth and advancement.
• Comprehensive health benefits and wellness programs.
• Flexible working hours and a supportive work environment.
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