Senior Data & BI Analyst - Automation & Dashboards

Amazon Inc.

Bellevue (WA)

On-site

USD 83,000 - 130,000

Full time

5 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave
RSUs

Job summary

Amazon is seeking a Senior Business Analyst to develop deep business understanding, build automated data pipelines and BI solutions that drive decision making across MMPT. You will work with Product, Program, Engineering teams to design scalable analytics and present insights with clarity.

The role requires hands-on experience in Python, SQL and data visualization, plus the ability to turn complex data into actionable recommendations.

Qualifications

  • 3+ years of business/ data analysis experience.
  • 3+ years of Excel and Tableau experience.
  • Bachelor's degree or equivalent.
  • Experience defining requirements with data and metrics to draw business insights.
  • Experience with SQL.
  • Experience making business recommendations.

Responsibilities

  • Use quantitative analysis and data presentations to understand drivers of the business.
  • Work with large data sets to solve complex problems using data management tools and analytical approaches.
  • Partner with Product, Program, Engineering, and cross-functional teams to design scalable BI solutions influencing strategy.
  • Identify and measure success of product and program efforts through continuous analysis and monitoring of metrics.
  • Build and maintain self-serve analytics: dashboards, drill-downs, alerts and definitions.
  • Identify key drivers and deliver actionable recommendations.

Skills

Excel
SQL
Tableau
Data analysis

Education

Bachelor's degree or equivalent

Tools

Power BI
Python

Job description

Amazon is seeking a Senior Business Analyst to develop deep business understanding, build automated data pipelines and BI solutions that drive decision making across MMPT. You will work with Product, Program, Engineering teams to design scalable analytics and present insights with clarity.

The role requires hands-on experience in Python, SQL and data visualization, plus the ability to turn complex data into actionable recommendations.

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