Description Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity. As a Business Intelligence Engineer for the Kuiper Global Customer Operations team, you will build analytics across Kuiper’s global Customer Service and Field Operations organizations. You will immerse yourself in all facets of Kuiper customer operations and become a trusted partner to stakeholders by sharing data-driven insights based on a deep understanding of the business. You will build and manage data infrastructure, develop and improve analytics products, simplify data access, and unlock self-service insights. Through tooling, automation, data analysis, and statistical modeling, you will create solutions to continuously measure KPIs and empower Kuiper Customer Service and Field Operations with the data and insights they need to improve the customer experience and drive efficiency. The ideal candidate will have a passion for proactively driving data-based decision making. They will also have a curiosity for learning about the business and suggesting new ways to leverage analytics to advance business objectives. Key job responsibilities • Work closely with Kuiper Customer Service and Field Operations teams to understand their challenges and provide analysis to guide decision making. • Own data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations. • In partnership with Customer Service and Field Operations teams, develop key metrics and performance indicators to measure overall performance and provide foundation for continuous improvement. • Learn and understand a broad range of Kuiper’s data resources and know how, when, and which to use. • Build self-service reporting platforms, establishing automated processes for large scale data analysis. • Understand and write high quality queries to retrieve and analyze data (ongoing reporting and ad-hoc requests). • Define analytical approaches and metrics strategy to uncover new insights and formulate recommendations that improve the customer experience and efficiency. 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. A day in the life You will lead our efforts to develop the data infrastructure and analytical tools Kuiper Global Customer Operations needs to launch and scale globally. This will involve collaborating with stakeholders to understand their goals and challenges, working with software and product teams to source data, and developing analyses and self-serve analytics tools (e.g., AWS QuickSight dashboards) to empower the business with data and insights. About the team Global Customer Operations is part of the Worldwide Consumer team. Our mission is to plan, develop and execute on strategies to launch and operate Kuiper services globally through multiple distribution channels. Through regional and local country operations, our team is responsible for delivering revenue from residential and small business broadband services. On a global level, regional and country level, the team develops business models, local and regional partnerships and fixed service operations in service enabled countries. Basic Qualifications - 5+ years of business intelligence and analytics experience - 3+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience - Experience with SQL - Experience with ETL - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software Preferred Qualifications - 4+ years of working with very large data warehousing environment experience - 5+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.