Amazon Data Analyst

Cesna Recruitment; Port Washington (WI); On-site; USD 75,000 - 110,000; Full time

Job summary

Cesna Recruitment is seeking an Amazon Data Analyst to support data-driven decision-making for an Amazon business in Wisconsin. The role focuses on building reporting infrastructure, analyzing performance, and turning complex marketplace data into actionable insights across sales, advertising, and inventory planning.

You will analyze Amazon metrics, develop forecasting models, and prepare monthly reviews while collaborating with Finance, Marketing, and Supply Chain to improve data accuracy and

Qualifications

• Bachelor’s degree in a related field is required.
• 3–5+ years of data analytics or BI experience, preferably in e-commerce.
• Strong Excel skills and knowledge of BI tools (Power BI or Tableau).
• Experience with SQL for data extraction and manipulation.
• Familiarity with Amazon data, advertising metrics, and online retail is a plus.

Responsibilities

• Analyze Amazon sales, traffic, conversion, advertising, inventory, pricing, and profitability to identify trends and risks.
• Build and maintain dashboards and reporting tools for KPIs including sales, conversion, ACOS, ROAS, and inventory health.
• Leverage Seller/Vendor Central, Brand Analytics, third-party platforms, and internal data to generate actionable insights.
• Conduct product, category, and SKU-level analysis to evaluate performance and growth potential.
• Develop forecasting models to support sales planning and inventory management.
• Prepare monthly business reviews and translate complex data into clear leadership recommendations.
• Partner with Amazon Business, Finance, Marketing, and Supply Chain to drive data-informed decisions and improve reporting accuracy.

Skills

Data analysis

Business intelligence

Excel proficiency

Power BI

Tableau

SQL

Communication

Problem-solving

Education

Bachelor's degree in Data Science/Statistics/Analytics/Economics

Tools

Power BI

Tableau

SQL

Job description

[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

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