Data & BI Analyst for AI-Driven Insights

Amazon; Seattle (WA); On-site; USD 80,000 - 98,000; Full time

Job summary

Amazon in Seattle is seeking a Business Analyst to transform raw data into strategic insights that bridge business intelligence with AI technologies. You will design data migration strategies, develop SQL queries, and create visualizations to communicate findings to cross-functional teams.

The role emphasizes translating complex data requirements into actionable recommendations and collaborating with stakeholders to validate analytics results, while contributing to data-driven decision making

Qualifications

• Experience defining requirements and using data and metrics to draw business insights.
• Experience creating complex SQL queries joining multiple datasets, ETL DW concepts.
• 2+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience.
• Bachelor's degree or equivalent

Responsibilities

• Design and implement comprehensive data migration strategies, transitioning core datasets to advanced AI platforms.
• Develop sophisticated SQL queries and data models to extract meaningful business intelligence.
• Analyze complex data sets, identifying trends, patterns, and actionable recommendations.
• Collaborate with technical and business stakeholders to define data requirements and validate analytical findings.
• Create clear, compelling data visualizations and reports that communicate complex insights.

Skills

Data analysis

Requirements gathering

ETL concepts

Education

Bachelor's degree or equivalent

Master's degree in Math/Statistics/CS or related field

Tools

SQL

Tableau

Excel

Job description

Amazon in Seattle is seeking a Business Analyst to transform raw data into strategic insights that bridge business intelligence with AI technologies. You will design data migration strategies, develop SQL queries, and create visualizations to communicate findings to cross-functional teams.

The role emphasizes translating complex data requirements into actionable recommendations and collaborating with stakeholders to validate analytics results, while contributing to data-driven decision making