Business Intelligence Engineer II, Amazon Leo

Leo is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity.

Export Control Requirement: Candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Responsibilities

• Create automated reports and dashboards using BI tools such as Tableau, QuickSight, etc.
• Partner with program, legal, and technical stakeholders to understand challenges and provide analysis that drives program success.
• Provide data support for business and cross‑functional partners to address escalations and answer questions using PostgreSQL and AWS solutions.
• Uncover trends and correlations through mining and analysis to develop insights for effective decision‑making.
• Design and execute analytical projects using statistical analysis.
• Build self‑service solutions that empower stakeholders to access and analyze data independently.

Basic Qualifications

• Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field.
• 3+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
• 1+ years of experience with SQL, ETL, or Oracle.
• 1+ years of experience processing large, multi‑dimensional datasets from multiple sources.
• 1+ years of experience performing statistical analysis.
• Experience with data visualization using Tableau, QuickSight, or similar tools.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Experience with statistical analysis packages such as R, SAS, or MATLAB.
• Proficiency in using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.

Preferred Qualifications

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
• Experience in data mining, ETL, and using databases in a business environment with large‑scale, complex datasets.

Compensation

Base salary range: $99,500 – $160,000 USD annually. The Amazon package includes sign‑on payments and restricted stock units (RSUs). Final compensation is determined based on experience, qualifications, and location.

Benefits

• Health insurance (medical, dental, vision, prescription)
• Basic Life & AD&D insurance with optional supplemental life plans
• Employee Assistance Program (EAP) and mental health support
• Medical advice line
• Flexible Spending Accounts
• Adoption and surrogacy reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave