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Business Intelligence Engineer, Leo Global Customer Operations

Amazon· Amazon Kuiper Commercial Services LLC / Leo Global Customer Operations
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Bellevue, WA$99.5k - $160kFull-timePosted 1w ago

About the role

Business Intelligence Engineer role focused on building analytics for Leo’s global Customer Service and Field Operations, developing data infrastructure, analytics products, and self-service insights to improve customer experience and operational efficiency.

Responsibilities

  • Work closely with Leo Customer Service and Field Operations teams to understand 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.

Qualifications

  • 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

Skills

Required:Data analysis and interpretationSQLETLData visualizationPythonStatistical analysis

Benefits

  • health insurance (medical, dental, vision, prescription)
  • Basic Life & AD&D insurance and option for Supplemental life plans
  • EAP, Mental Health Support
  • Flexible Spending Accounts
  • Adoption and Surrogacy Reimbursement coverage
  • 401(k) matching
  • paid time off
  • parantal leave
  • sign-on payments and restricted stock units (RSUs)
  • comprehensive benefits overview available on company site
Last updated Oct 25, 2026. Interested? Apply on the company site.

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