Business Intelligence Engineer, Leo Global Customer Operations

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

- 3+ years of SQL, ETL or Oracle experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines

PREFERRED QUALIFICATIONS

- 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.