Amazon Business Intelligence Engineer ProdOps OAT Project Kuiper 

United States, Washington, Bellevue 

519405168

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 Business Intelligence Engineer (BIE), you will implement and maintain effective analytics solutions that drive data-informed decisions to streamline the production of Kuiper's satellite technology. You will focus on creating efficient, maintainable, and well-documented processes for data analysis and reporting.As a BIE within Kuiper 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 Kuiper's 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 team's engineering excellence by implementing best practices and proactively seeking opportunities to learn and share knowledge.Key job responsibilities- Define and track key metrics and performance indicators to monitor performance and drives continuous improvement across Kuiper'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- Clearly communicate analytical findings and methodology to diverse stakeholders through clear documentation and presentationsA day in the life

- 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