Amazon Senior Business Intelligence Engineer ProdOps OAT Project Kuiper 

United States, Washington, Bellevue 

936730095

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 OverviewAs 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 Kuiper'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.As a Senior BIE within Kuiper ProdOps, you will demonstrate technical leadership by transforming complex challenges into clear, actionable insights. You are a customer-obsessed problem-solver who builds strong partnerships across Kuiper's ecosystem, including hardware, software, supply chain, manufacturing, launch, facilities, and finance teams. Your ability to invent and simplify will be key to solving technical challenges. You will use your communication skills to articulate complex data concepts, manage expectations, and drive consensus across diverse technical and non-technical stakeholders. You will raise the bar by mentoring other BIEs and contributing to the team's technical vision and strategy.
Key job responsibilities- Develop key metrics and performance indicators that drive continuous improvement across Kuiper'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- Effectively communicate complex analytical insights to diverse stakeholders through clear documentation and presentationsA day in the life

- 7+ years of SQL experience
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with AWS technologies
- 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
- 5+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software