Senior Business Intelligence Engineer, ProdOps OAT, Amazon Leo

Role Overview

As a Senior Business Intelligence Engineer (BIE), you will architect and deliver best-in-class analytics solutions that drive data-informed decisions to streamline production of Amazon Leo's satellite technology. You will set new standards for creating scalable, efficient, and automated processes for large-scale data analysis while maintaining a high bar for engineering excellence.

Key job responsibilities

• Partner with cross-functional and cross-organizational teams to understand business challenges and deliver data-driven solutions that enable better decision making
• Develop key metrics and performance indicators that drive continuous improvement across Leo's operations
• Define analytical approaches and metrics strategy to uncover new insights and formulate recommendations that improve productivity
• Build self-service reporting solutions that scale across the organization
• Write complex SQL queries and develop efficient data pipelines to support both recurring and ad-hoc analytical needs
• Build and maintain robust data infrastructure in collaboration with BIEs/DEs, ensuring data quality, availability, and scalability
• Effectively communicate complex analytical insights to diverse stakeholders through clear documentation and presentations
• Lead technical initiatives and mentor team members, promoting analytics best practices across the organization
• Stay current with AI/ML advancements (especially around LLMs and GenAI) and evangelize new technologies within the BIE and analytics community

About the team

The Operations Analytics Team (OAT) was established to develop end-to-end analytics products across Leo Production Operations. That 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.

Basic Qualifications

• 7+ years of SQL experience
• Experience in scripting for automation (e.g. Python) and advanced SQL skills
• 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 with theory and practice of information retrieval, data science, machine learning and data mining
• Bachelor's degree in statistics, data science, or an equivalent quantitative field

Preferred Qualifications

• Master's degree in statistics, data science, or an equivalent quantitative field
• Experience managing, analyzing and communicating results to senior leadership
• Experience working directly with business stakeholders to translate between data and business needs