Amazon · 2 days ago
Business Intelligence Engineer, ProdOps OAT, Leo
Bellevue, WA
Full-time
Onsite
Mid Level
$90K/yr - $185K/yr
3+ years expAmazon is seeking a Business Intelligence Engineer for its Leo satellite broadband network, which aims to provide reliable internet access worldwide. The role involves implementing analytics solutions to facilitate data-driven decisions and collaborating with various teams to drive operational improvements.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
No H1B
U.S. Citizen Only
Responsibilities
Collaborate with cross-functional and cross-organizational teams to understand business needs and implement data-driven solutions that enable better decision making
Define and track key metrics and performance indicators to monitor performance and drives continuous improvement across Leos's operations
Execute analytical approaches to uncover new insights and share recommendations that improve productivity
Design and build robust, self-service reporting solutions that scale across the organization
Write complex, performant SQL queries and develop efficient data pipelines to support both recurring and ad-hoc analytical needs
Build and maintain data infrastructure in collaboration with BIEs/DEs, focusing on improving data quality and availability
Communicate analytical findings and methodology to diverse stakeholders through clear documentation and presentations
Lead technical initiatives and actively share knowledge with team members, supporting analytics best practices
Maintain awareness of AI/ML advancements (especially around LLMs and GenAI) and propose new technologies for team consideration
Qualification
Required
Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
3+ years of BIE or similar role experience with writing complex, highly-optimized SQL queries across large datasets
3+ years experience with data visualization using Tableau, Quick Suite, Grafana, or similar tools
3+ years experience with data modeling, warehousing and building ETL pipelines
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience in Statistical Analysis packages such as R, SAS and Matlab
Preferred
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Experience with forecasting and statistical analysis
Master's degree in sciences, engineering, finance or equivalent
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
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2026-01-09
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