Senior Business Analyst - Data-Driven Operations & Insights

Amazon; Sacramento (CA); On-site; USD 57,308,160 - 85,962,240; Full time

Job summary

Amazon is seeking a Senior Business Analyst in Sacramento to drive data-driven decisions and optimize operational performance. You will own dashboards, validate data across tools, and translate complex data into actionable business insights for executives and teams.

The role requires strong analytical skills, stakeholder handling, and experience with SQL and BI tools. Collaboration across product, operations, and tech teams is essential to succeed.

Qualifications

• Bachelor’s degree required; four-year college degree.
• Experience defining requirements and using data/metrics to derive business insights.
• Experience making business recommendations and influencing stakeholders.
• Experience with SQL.
• Experience with BI tools (Power BI/Tableau/QlikView/Quicksight).
• 2+ years in a business analyst, data analyst, or analytics role.
• 2+ years cross-functional collaboration with tech and non-tech teams.

Responsibilities

• Plan, develop, and maintain dashboards and reports to drive key business decisions.
• Ensure data accuracy by validating data for new and existing tools.
• Learn and leverage Amazon’s data assets to generate insights for leadership.
• Diagram data for reporting and communicate findings to stakeholders.
• Collaborate across teams to focus on and deliver data and reporting.

Skills

Analytical thinking

Stakeholder influence

Cross-functional collaboration

Business insights

Education

Four-year college degree

Graduate degree preferred

Tools

SQL

Power BI

Tableau

QlikView

Amazon QuickSight

Job description

Amazon is seeking a Senior Business Analyst in Sacramento to drive data-driven decisions and optimize operational performance. You will own dashboards, validate data across tools, and translate complex data into actionable business insights for executives and teams.

The role requires strong analytical skills, stakeholder handling, and experience with SQL and BI tools. Collaboration across product, operations, and tech teams is essential to succeed.