Business Intelligence Engineer, Prime Air

Global technology company pioneering innovations in e-commerce, cloud computing, and artificial intelligence.
$89,600 - $185,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Logistics

Description For Business Intelligence Engineer, Prime Air

Amazon Prime Air is at the forefront of revolutionizing delivery systems through innovative drone technology. As a Business Intelligence Engineer on the Prime Air team, you'll play a crucial role in building and maintaining the data infrastructure that powers this cutting-edge initiative. The position combines analytical expertise with business acumen to drive data-driven decisions in the drone delivery program.

The role requires a unique blend of technical skills in data analysis, database design, and visualization tools, along with the ability to handle complex datasets. You'll work in an iterative environment where innovation is key, applying state-of-the-art technologies to solve real-world delivery challenges. The position offers exposure to groundbreaking aerospace technology while working with a diverse team of scientists, engineers, and futurists.

This is an excellent opportunity for analytical minds who thrive in fast-paced environments and want to contribute to the future of delivery systems. You'll be part of Amazon's culture of diversity and inclusion, working on projects that directly impact customer experience. The role offers competitive compensation, comprehensive benefits, and the chance to work on technology that is literally changing the face of delivery services.

The ideal candidate will combine strong technical capabilities with business acumen, bringing intense curiosity and creativity to problem-solving. You'll need to be comfortable with ambiguity, able to think strategically while maintaining attention to detail, and have the ability to work independently while collaborating with cross-functional teams. This position offers the unique opportunity to be part of a team that's making science fiction a reality in the delivery space.

Last updated 19 days ago

Responsibilities For Business Intelligence Engineer, Prime Air

  • Build critical data pipelines and analytics tools across Prime Air
  • Design and implement database solutions
  • Work with large and complex data sets
  • Build self-service dashboards and use visualization tools
  • Apply analytical rigor to solve business problems

Requirements For Business Intelligence Engineer, Prime Air

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

Benefits For Business Intelligence Engineer, Prime Air

Medical Insurance
Equity
  • Medical, financial, and other benefits
  • Equity compensation
  • Sign-on payments
  • Total compensation package

Interested in this job?

Jobs Related To Amazon Business Intelligence Engineer, Prime Air

Data Engineer, Content Analysis & Strategy (CAST)

Data Engineer position at Amazon Music focusing on big data analytics, ETL pipelines, and AWS technologies to drive music customer insights and business value.

Business Intelligence Engineer, Global Transportation Services

Business Intelligence Engineer role at Amazon's Global Transportation Services, focusing on data analytics and transportation network optimization.

BI Engineer - Music Merch, Amazon Music - Content Analysis & Strategy

BI Engineer position at Amazon Music focusing on data analysis and insights for the Music Merchandise business

Data Engineer, Partner Experience

Data Engineer role at Amazon Prime Video focusing on building and maintaining data infrastructure for partner experience analytics using AWS services.

Software Development Engineer, Fintech

Build and architect large-scale financial data systems at Amazon, focusing on big data processing and machine learning implementations.