Project Kuiper is an ambitious Amazon initiative focused on increasing global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). As a Senior Business Intelligence Engineer in Kuiper's Commercial Revenue Operations, you'll play a crucial role in shaping the data strategy for this innovative space technology venture.
The position offers an exciting opportunity to work at the intersection of space technology and data analytics, where you'll be responsible for defining and implementing the team's business intelligence vision. You'll be working with cutting-edge cloud technologies and handling large-scale data sets to drive critical business decisions.
Your work will directly impact Project Kuiper's mission to bring fast, affordable broadband to unserved and underserved communities worldwide. You'll collaborate with diverse teams across sales, marketing, operations, product, engineering, finance, and legal to build analytical solutions that inform business planning, sales performance, and customer lifecycle analysis.
The role requires strong technical expertise in SQL, Python, and data visualization tools, combined with the ability to translate complex business needs into actionable insights. You'll be responsible for implementing data governance practices, building ETL pipelines, and creating sophisticated dashboards that drive decision-making processes.
This is an excellent opportunity for experienced data professionals who want to make a significant impact on a revolutionary project. The position offers competitive compensation ranging from $117,300 to $202,800 per year, depending on location, plus comprehensive benefits. The role is based in Redmond, WA, and requires U.S. citizenship or permanent residency due to export control requirements.
As part of Amazon's Commercial Revenue Operations team, you'll be at the forefront of driving business strategy and system development for Kuiper's commercial business. This role offers the unique opportunity to shape the future of global connectivity while working with some of the most advanced technologies in the aerospace and data analytics fields.