BI Engineer II: Middle Mile Analytics & Optimization

Amazon

Minneapolis (MN)

On-site

USD 100,000 - 160,000

Full time

6 days ago
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Benefits offered by this job

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

Job summary

Amazon is seeking a skilled Business Intelligence Engineer to lead analytics for its Middle Mile Transportation technology team in Minneapolis. You will build insights, models, and dashboards that influence billions in costs and service levels, partnering with executives, engineers, and operations.

The role demands deep data expertise, cross-functional collaboration, and delivery of production-ready analyses.

Qualifications

  • Bachelor's degree in a quantitative field.
  • 3+ years analyzing data with Redshift, Oracle, NoSQL.
  • Experience with data visualization tools like Tableau/Quicksight.
  • Data modeling, warehousing, ETL pipelines.
  • SQL querying and Python scripting for modeling.
  • Familiarity with R/SAS/Matlab for statistical analysis.
  • Experience with AWS data services and AI product deployment.

Responsibilities

  • Generate insightful analysis, reporting, and data visualizations to answer critical business questions.
  • Translate data into actionable insights for stakeholders and identify opportunities.
  • Apply data mining and modeling across multiple sources to uncover key drivers and predictive models.
  • Define and execute work items with a focus on improved metrics and efficiency.
  • Uphold best practices in reporting, data integrity, and validation.

Skills

SQL
Python
Tableau/Quicksight
Data visualization
Data mining & modeling
Big data

Education

Bachelor's degree in BI/finance/engineering/statistics/computer science/mathematics
Master's degree in BI/finance/engineering/statistics/computer science/mathematics

Tools

AWS (EC2/DynamoDB/S3/Redshift)
NoSQL/Oracle

Job description

Amazon is seeking a skilled Business Intelligence Engineer to lead analytics for its Middle Mile Transportation technology team in Minneapolis. You will build insights, models, and dashboards that influence billions in costs and service levels, partnering with executives, engineers, and operations.

The role demands deep data expertise, cross-functional collaboration, and delivery of production-ready analyses.

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