Business Intelligence Engineer

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting experience
- 3+ years of in the job offered or a related occupation experience
- 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
- 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 and scripting experience (Python) to process data for modeling
- 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, REDMOND - 99,500.00 - 160,000.00 USD annually
Amazon Leo is Amazon’s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity.

Due to applicable export control laws and regulations, 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.

Key job responsibilities
• Design, develop, and support BI solutions that turn operational data into actionable insights for Senior Leadership and Production Managers across OISL programs.
• Assemble large, complex datasets that meet functional business and operations requirements across supply line, rework, and manufacturing domains.
• Work with analysts, production managers, and subject matter experts to design and develop data models and reports spanning operational business domains.
• Identify, design, and implement internal process improvements — automating manual reporting workflows, optimizing data delivery pipelines, and re-designing infrastructure for greater scalability.
• Build and maintain the data infrastructure required to support diverse operational business domains and the growing analytical needs of the LEO OISL organization.
• Develop and maintain dashboards and self-service reporting tools that enable operations teams to monitor KPIs, flag anomalies, and drive continuous improvement initiatives.
• Translate ambiguous business questions into structured analytical frameworks and scalable data solutions.


About the team
Amazon Leo OISL Team is seeking a Business Intelligence Engineer who is data-driven, uncompromisingly detail-oriented, and passionate about transforming complex operational data into actionable insights. You will partner closely with production, supply chain, and operations leadership to design and deliver BI solutions that drive decisions at scale across our fulfillment and manufacturing programs.

You are not tool-centric — you determine what technology best fits the problem and apply it accordingly. You can communicate complex analytical concepts clearly to non-technical stakeholders. The ideal candidate brings strong skills in business process understanding, data modeling, report development, complex SQL authoring, testing, troubleshooting, metadata management, and documentation.