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Business Intelligence Engineer, On-Road Staffing

Global technology and e-commerce company focused on customer service, innovation, and delivery excellence.
$89,600 - $185,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · Logistics

Description For Business Intelligence Engineer, On-Road Staffing

Amazon's On Road Staffing (ORS) team is seeking a Business Intelligence Engineer to develop Market Intelligence products that will enhance Amazon's last mile delivery capabilities. This role combines data engineering and analytics to optimize service levels and delivery operations. The position requires strong technical skills in data analysis, visualization, and modeling, along with business acumen to drive actionable insights. The ideal candidate will work with various functional teams, develop scalable solutions, and directly impact Amazon's delivery network efficiency. The role offers competitive compensation ranging from $89,600 to $185,000 based on location, plus equity and comprehensive benefits. This is an opportunity to work on challenging problems at scale while contributing to Amazon's customer-centric delivery operations. The position requires expertise in SQL, Python, data visualization tools, and statistical analysis, making it perfect for those passionate about data-driven decision making in logistics.

Last updated a day ago

Responsibilities For Business Intelligence Engineer, On-Road Staffing

  • Own, design, develop, document, and manage scalable solutions for metrics, reports, analyses, visualizations, and dashboards
  • Develop queries and data visualizations using SQL, Redshift, QuickSight and Tableau
  • Understand data storage frameworks and access tools
  • Develop and maintain customer segmentation and predictive models
  • Design and drive experiments to form actionable recommendations
  • Present to business leaders in business reviews

Requirements For Business Intelligence Engineer, On-Road Staffing

Python
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL experience
  • Experience using SQL to pull data from databases and Python scripting
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience in Statistical Analysis packages such as R, SAS and Matlab

Benefits For Business Intelligence Engineer, On-Road Staffing

Medical Insurance
401k
Equity
  • Medical benefits
  • Financial benefits
  • Sign-on bonus
  • Equity compensation

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