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Business Intel Engineer II, Partner Engagement

Amazon

Business Intel Engineer II, Partner Engagement

full-timePosted: Aug 5, 2026Updated: Aug 27, 2026Seattle, Washington, United States

Job Description

Are you passionate about enhancing the Selling Partner experience? Do you thrive on creating customer-centric solutions that deliver measurable results? Are you excited by the prospect of designing and implementing scalable, end-to-end solutions built on solid process excellence principles? Does the idea of working with ambiguity, leveraging data, and using analytics to guide product strategy and improvement plans energize you? If you answered yes to these questions, the Partner Engagement team has an exciting opportunity for you! We are seeking a Business Analyst to help steer our Selling Partners' experience through the power of insights and analytics. In this role, you'll support Product and Program Managers with data-driven insights, fostering collaboration across Amazon teams to collectively elevate the seller support experience. Our Partner Engagement data team is at the forefront of improving partner success. We integrate key data from multiple sources to provide our partner teams with clear, real-time insights into seller experiences and daily operations. This empowers them to make informed decisions that drive meaningful improvements. Join a team where your analytical skills will directly impact the success of our Selling Partners and contribute to Amazon's continued growth! Key job responsibilities The BIE role on the Partner Engagement team focuses on building effective reporting mechanisms that grow with our business needs. We're looking for someone who combines practical business understanding with strong data analysis skills to turn complex information into clear, useful insights. You'll work independently, solve problems creatively, and stay organized while handling multiple projects. In this fast-moving environment, you'll research trends, make recommendations to leadership, and develop lasting solutions that improve how we support our Selling Partners. The ideal candidate for this role: • Takes initiative and works directly with teams to understand what the business needs now and in the future. • Has practical experience with measuring business operations and understands how different metrics relate to each other. • Spots important problems before they grow, analyzes them thoroughly, and recommends clear solutions that help guide team decisions. • Works well with leadership to explain what information and tools the team needs to better understand the Selling Partner experience. • Shows others how to lead through their own actions and decisions, following Amazon's Leadership Principles. About the team This role is on the Partner Engagement team, which is focused on aligning all Amazon teams to deliver a consistent and quality contact support experience for Amazon's Selling Partners.

Locations

  • Seattle, Washington, United States

Salary

99,500 - 160,000 USD / yearly

Skills Required

  • data visualization using Tableauintermediate
  • data modelingintermediate
  • Statistical Analysis packages such as Rintermediate
  • SQL to pull data from a databaseintermediate
  • AWS solutions such as EC2intermediate
  • data miningintermediate

Required Qualifications

  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience (experience, 3 years)
  • Experience with data visualization using Tableau, Quicksight, or similar tools (experience)
  • Experience with data modeling, warehousing and building ETL pipelines (experience)
  • Experience in Statistical Analysis packages such as R, SAS and Matlab (experience)
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling (experience)

Preferred Qualifications

  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift (experience)
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets (experience)
  • Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting (experience)
  • Experience identifying opportunities to integrate AI solutions into products and services to drive business value (experience)

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