About The Position

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: 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. As a Business Intelligence Engineer (BIE), you will implement and maintain effective analytics solutions that drive data-informed decisions to streamline the production of Leo's satellite technology. You will focus on creating efficient, maintainable, and well-documented processes for data analysis and reporting. As a BIE within Leo Supply Chain, 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 Leo's ecosystem, including hardware, software, supply chain, manufacturing, launch, facilities, transportation, 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 team's engineering excellence by implementing best practices and proactively seeking opportunities to learn and share knowledge.

Requirements

  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. 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
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • 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

Nice To Haves

  • 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

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

Benefits

  • 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
  • parental leave
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