Business Intelligence Engineer, ProdOps OAT, Project Leo

Project Leo is Amazons low Earth orbit satellite broadband network. Its mission is to deliver fast reliable internet to customers and communities around the world and weve 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: 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.

Role Overview

As a Business Intelligence Engineer (BIE) you will implement and maintain effective analytics solutions that drive data-informed decisions to streamline the production of Leos satellite technology. You will focus on creating efficient maintainable and well-documented processes for data analysis and reporting.

As a BIE within Leo ProdOps you will tackle complex data challenges and translate them into clear actionable insights for the business. You are a customer-obsessed problem-solver who will build effective partnerships across Leos ecosystem including hardware software supply chain manufacturing launch facilities and finance teams. Your ability to invent and simplify processes will be key to solving day-to-day data needs. You will use your communication skills to articulate data concepts clearly and collaborate with diverse technical and non-technical stakeholders to deliver results. You will contribute to the teams engineering excellence by implementing best practices and proactively seeking opportunities to learn and share knowledge.



Key job 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 Leoss 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
- Clearly 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

A day in the life
This role will be highly collaborative requiring partnerships with cross-functional leaders to drive positive results. You will tackle challenging novel business problems every day and have the opportunity to work with multiple technical teams of Leo. You should be comfortable with a high degree of ambiguity and relish the idea of solving problems that havent been solved at scale before. Along the way we guarantee that you will learn a lot have fun and make a positive impact on millions of people.

About the team
The Operations Analytics Team (OAT) was established to develop end-to-end analytics products across Leo Production Operations (ProdOps). This includes both tools and insights for ProdOps leadership and functional teams. OAT products are leveraged as the single-source-of-truth for insights and metrics that production teams rely on to drive performance. OAT works in parallel with the Leo Production PMO to coordinate actions and release analytics products across all Leo teams.

- 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 of data visualization software e.g. Tableau Quick Suite Grafana or similar tools
- 3 years experience with data modeling warehousing and building ETL pipelines
- 3 years experience with Python or similar scripting language
- Experience in Statistical Analysis packages such as R SAS and Matlab

- 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
- Knowledge of AWS platforms such as S3 Glue Athena Sagemaker

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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.