Job description

Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable broadband connectivity to customers beyond the reach of existing networks. From households to small businesses, schools, hospitals, and government agencies, Amazon Leo will serve communities and organizations operating in places without dependable internet access. 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. - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - 1+ years of SQL, ETL or Oracle experience - 1+ years of processing large, multi-dimensional datasets from multiple sources experience - 1+ years of performing statistical analysis experience - 1+ years of developing automated reporting experience - 3+ years of in the job offered or a related occupation experience - 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets 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 amazon.jobs 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 amazon.jobs . USA, WA, BELLEVUE - 99,500.00 - 160,000.00 USD annually

Requirements

Must-haves

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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awssqlpython

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave