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Business Intelligence Engineer, Global Network Delivery Analytics; L5; AWS

Job in Seattle, King County, Washington, 98127, USA
Listing for: Amazon
Full Time position
Listed on 2025-12-31
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Job Description & How to Apply Below
Position: Business Intelligence Engineer, Global Network Delivery Analytics (L5) (AWS)

Business Intelligence Engineer, Global Network Delivery Analytics (L5)

Job  | Amazon Data Services, Inc.

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain – and we’re looking for talented people who want to help.

The Global Network Deployment (GND) organization is looking to hire a Business Intelligence Engineer II to join our Data and Analytics Team to support GND’s fast growing operations. The GND organization owns delivery of physical network infrastructure for core data centers and Edge points-of-presence (PoPs) globally through planning, deployment, and process optimization. This role will own data analytics projects from beginning to end, utilizing business intelligence tools to produce dashboards, planning models, and analysis for the different GND verticals.

You will work with demand planning, finance, networking, and other BI teams across AWS to deliver high quality and robust data visualizations and analyses. You will recognize and adopt best practices in reporting and analysis, including data integrity, data validation, and documentation. Your analysis will contribute deeply to the development of our strategy and drive impact against our business objectives.

Key

job responsibilities
  • Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems. Successful members of this team collaborate effectively with internal end-users, cross-functional SDE, DE and Product Teams to solve problems, and implement BI solutions.
  • Establish baseline metrics and analytics. Collaborate with business customers and the leadership team to track and report all key performance indicators (KPI) against annual, quarterly and monthly goals.
  • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Ensure data accuracy by validating data for new and existing tools.
  • Creating and maintaining ETL pipelines across a wide range of data sources using SQL and Python, among other technologies.
  • Driving best practices in documentation, coding standards, and data integrity.
A day in the life
  • Take detailed requirements from stakeholders to deeply understand their current manual processes and pain points.
  • Think creatively to identify opportunities to solve problems using technology-driven solutions.
  • Design and implement optimal automation solutions to address stakeholder needs.
  • Thoroughly document all processes, solutions, and learnings to ensure knowledge capture and sharing.
About the team

Diverse Experiences – AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Basic Qualifications
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, No

    SQL 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
Preferred Qualifications
  • Experience with AWS solutions such as EC2, Dynamo

    DB, 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…

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