Amazon Data Analyst

Cesna • Python • SQL • Tableau • Power BI • 2 hours ago
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Salary
≈ $76k – $173k per year (Estimated)
Location
In office (Washington)
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Cesna

Cesna is a recruitment firm headquartered in Seoul, South Korea, that places candidates, many of them Korean bilingual professionals, with Korean and multinational companies in the United States and Asia. Incorporated in 1999, it opened its first overseas branch in New York in 2003, says it has served more than 4,000 companies, and has offices in San Jose, New Jersey, Dallas, Washington, DC, Shanghai and Singapore, with further listings in Thailand. Its postings are mostly client roles for Korean bilingual accountants, finance and HR managers, purchasing and warehouse operations staff, product and project managers, sales executives, chemical traders and interpreters.
cesna.com • HQ: Seoul, South Korea • 1001-5000 employees • Est. 1999

[Job 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]

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

Requirements

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

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