Business Intelligence Engineer, Amazon Sub Same Day

Global technology and e-commerce company focused on online retail, cloud computing, and artificial intelligence.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Enterprise SaaS · Logistics

Description For Business Intelligence Engineer, Amazon Sub Same Day

The Sub Same Day (SSD) business at Amazon is focused on providing ultrafast delivery speeds (2-hour and same-day scheduled) and reliable delivery for customer essentials. This role is part of a highly cross-functional program that requires India-first solutions that can be scaled worldwide. As a Business Intelligence Engineer, you'll be responsible for influencing critical business decisions using data and providing insights to category teams. The position requires strong analytical capabilities, expertise in data visualization, and experience with various data tools and technologies. You'll work in a fast-paced environment where continuous innovation is valued, analyzing complex datasets to drive business improvements. The role combines technical skills in data engineering with business analysis, requiring both depth in data tools and the ability to translate findings into actionable business insights. This is an opportunity to impact one of Amazon's fastest-growing businesses while working with diverse teams across the organization. The position offers the chance to work on large-scale data challenges while directly influencing the evolution of Amazon's ultrafast delivery capabilities.

Last updated 4 hours ago

Responsibilities For Business Intelligence Engineer, Amazon Sub Same Day

  • Influence business decisions with data
  • Use data resources to accomplish analytical tasks relating to critical business metrics
  • Monitor key metrics and escalate anomalies as needed
  • Provide input on suggested business actions based on analytical findings

Requirements For Business Intelligence Engineer, Amazon Sub Same Day

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

Benefits For Business Intelligence Engineer, Amazon Sub Same Day

Medical Insurance
  • Workplace accommodation available for disabilities

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