Business Intelligence Engineer I, Direct Fulfillment Science Optimization & Data Analytics

Global technology company specializing in e-commerce, cloud computing, and artificial intelligence
$74,100 - $165,600
Data
Entry-Level Software Engineer
In-Person
5,000+ Employees
2+ years of experience
Enterprise SaaS · E-Commerce · Logistics

Description For Business Intelligence Engineer I, Direct Fulfillment Science Optimization & Data Analytics

Amazon's Global Supply Chain Optimization Technologies (SCOT) organization is seeking a Business Intelligence Engineer for their Direct Fulfillment team. This role focuses on optimizing Amazon's dropship business, which enables fulfillment directly from vendor warehouses. The position involves working with large-scale data to improve customer experience and operational efficiency.

The role requires expertise in data analytics, visualization, and statistical analysis. You'll work with advanced technologies like EMR and Redshift to create complex dashboards and derive actionable insights. The position offers an opportunity to impact Amazon's fastest-growing supply channels while working with data scientists and business stakeholders.

As a Business Intelligence Engineer, you'll be responsible for analyzing operational execution, creating metrics, and driving data-driven decisions. The role demands strong analytical skills, independence in data integration, and excellent communication abilities. You'll be part of a fast-paced, global team that's expanding Amazon's Direct Fulfillment capabilities.

The compensation package includes a competitive base salary range of $74,100 to $165,600, depending on location, plus equity and comprehensive benefits. This is an excellent opportunity for someone passionate about data analytics and supply chain optimization to join one of the world's leading technology companies.

Last updated 14 days ago

Responsibilities For Business Intelligence Engineer I, Direct Fulfillment Science Optimization & Data Analytics

  • Deep dive into operations execution and business problems, use analytical and statistical rigor to identify trends
  • Improve business results through creating best-in-class metrics, analysis, visualizations, and data-driven storytelling
  • Adopt best practices in reporting and analysis: data needs, data integrity, test design, analysis, validation, and documentation

Requirements For Business Intelligence Engineer I, Direct Fulfillment Science Optimization & Data Analytics

PostgreSQL
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with industry analytics visualization tools (Excel, Tableau, QuickSight, MicroStrategy, PowerBI)
  • Knowledge of statistical methods (t-test, Chi-squared)
  • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL experience

Benefits For Business Intelligence Engineer I, Direct Fulfillment Science Optimization & Data Analytics

Medical Insurance
Dental Insurance
Vision Insurance
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance

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