Sr. Business Intelligence Eng, Amazon Leo Customer Terminals

About the role

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.

We are seeking a Business Intelligence Engineer to join the Leo Aviation Operations team, supporting the data infrastructure and analytics that power our quality management systems, procurement, supply chain, and bill of materials (BOM) operations.

This role sits at the intersection of operational excellence and data engineering by building the reporting, tooling, and insights that enable Leo to scale aviation customer terminal manufacturing with full traceability, compliance, and cost visibility.

You will partner closely with operations, engineering, supply chain, and business development teams to transform complex operational data into actionable intelligence that drives decision-making from component sourcing through final delivery.

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.

Key job responsibilities

• Quality Management Systems (QMS) Analytics: Design and build dashboards, automated reports, and data pipelines that track quality metrics across the manufacturing lifecycle - including first pass yield, defect rates, non-conformance trends, corrective/preventive actions (CAPA), and supplier quality performance. Ensure data supports AS9100 and aviation regulatory compliance requirements.
• Procurement & Supply Chain Intelligence: Develop analytics solutions that provide visibility into procurement spend, supplier lead times, purchase order status, and supply chain risk. Build models that identify cost optimization opportunities and flag supply disruptions before they impact production timelines.
• Bill of Materials (BOM) Data Management: Create and maintain BI solutions that ensure BOM accuracy, version control traceability, and alignment between engineering BOMs, manufacturing BOMs, and procurement records. Build automated reconciliation tools to catch discrepancies early in the NPI process.
• Data Pipeline & Infrastructure Development: Design, build, and maintain scalable ETL/ELT pipelines that ingest data from manufacturing execution systems, ERP platforms, quality databases, and CM partner systems into a unified data warehouse. Ensure data integrity, freshness, and accessibility for downstream consumers.
• Self-Service Reporting & Democratization: Build intuitive dashboards and self-service analytics tools that empower operations, engineering, and leadership teams to access real-time insights without relying on ad-hoc data requests. Establish standardized KPI definitions and reporting cadences.
• Cross-Functional Partnership: Collaborate with operations managers, supply chain leads, quality engineers, and business development to understand data needs, translate business questions into analytical frameworks, and deliver insights that inform strategic and tactical decisions.

Basic Qualifications

• 10+ years of professional or military experience
• 5+ years of SQL experience
• Experience with AWS technologies
• 5+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
• Experience programming to extract, transform and clean large (multi-TB) data sets
• Experience with theory and practice of design of experiments and statistical analysis of results
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.
• Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred Qualifications

• Experience working directly with business stakeholders to translate between data and business needs
• Experience managing, analyzing and communicating results to senior leadership
• Master's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
• Experience in supply chain security, including management of third-party logistics providers, law enforcement, loss prevention, risk management, investigations or a similar field
• Experience with ERP systems (e.g., SAP, Oracle, Workday)
• Experience with Federal Aviation Administration (FAA) regulations or similar technical platforms, or experience that includes strong analytical skills, attention to detail, and effective communication abilities

Additional information

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Pay and benefits

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.

USA, WA, Redmond - 130,400.00 - 176,300.00 USD annually