Senior BI Engineer - Global Transport Analytics (AWS)

Amazon

Factoria (WA)

On-site

USD 130,000 - 176,000

Full time

42 hours ago
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Benefits offered by this job

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

Job summary

Amazon is seeking a Senior Business Intelligence Engineer for ShipTech Analytics in Bellevue, WA to design scalable ETL pipelines and metrics for the global transportation network using AWS big data tools. You will partner with operations and analytics teams, own data quality, build reporting tools, and contribute to AI-powered automation to deliver actionable insights.

5+ years in BI/ETL, SQL, Python, and large-data processing are preferred.

Qualifications

  • 5+ years of experience in BI/ETL/data analysis
  • 5+ years of SQL experience
  • 4+ years processing large multi-TB datasets
  • 1+ years of statistical analysis
  • Experience in data extraction, transformation and loading, and Oracle
  • Proficiency in Python scripting and automation
  • Experience collaborating with business stakeholders to translate data into insights

Responsibilities

  • Design and build scalable ETL and metrics for Amazon's global transportation network
  • Develop data reporting tools to streamline business processes
  • Partner with operations and analytics teams to understand requirements and deliver insights
  • Own data quality and improve datasets for operational excellence
  • Collaborate with cross-functional teams to standardize analytics capabilities
  • Leverage AWS big-data tools to convert raw data into actionable metrics
  • Drive code reviews, design discussions, and best practices
  • Work with senior engineers to scale data services and build new ones

Job description

Amazon is seeking a Senior Business Intelligence Engineer for ShipTech Analytics in Bellevue, WA to design scalable ETL pipelines and metrics for the global transportation network using AWS big data tools. You will partner with operations and analytics teams, own data quality, build reporting tools, and contribute to AI-powered automation to deliver actionable insights.

5+ years in BI/ETL, SQL, Python, and large-data processing are preferred.

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