Amazon.com-posted 3 months ago
$89,600 - $185,000/Yr
Full-time • Mid Level
Bellevue, WA
5,001-10,000 employees
General Merchandise Retailers

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.

  • 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.
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • 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
  • Medical, financial, and/or other benefits
  • Equity and sign-on payments as part of total compensation package
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service