Amazon Leo 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. Amazon Leo 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 Leo Global Customer Operations team, you will build analytics across Leo’s global Customer Service and Field Operations organizations. You will immerse yourself in all facets of Leo 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 Leo 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 Leo 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 Leo’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 Leo 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 Leo 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 SQL experience
- 5+ years of business intelligence and analytics experience
- 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
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- 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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, BELLEVUE - 130,400.00 - 176,300.00 USD annually