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Business Intelligence Engineer, SSP Analytics, Seller Success Programs Analytics

Amazon· Business Intelligence
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Seattle, WA$99.5k - $160kFull-timePosted yesterday

About the role

BIE role on the Seller Success Programs Analytics team at Amazon, driving data-driven insights across the new seller journey (registration, onboarding, launch, and growth) to shape programs that accelerate seller success globally.

Responsibilities

  • Engage with leadership and diverse customer groups to understand needs and recommend BI solutions.
  • Partner with engineering to define data elements and structures for new seller metrics across registration, onboarding, and launch.
  • Design, implement, and support platforms for ad-hoc large datasets and self-service deep dives (eg: data visualization tools for non-technical users).
  • Interface with business customers, gather requirements, and deliver complete reporting solutions.
  • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
  • Participate in strategic and tactical planning discussions.
  • Standardize data and report consumption across all customer groups.
  • Make recommendations for new metrics, techniques, and strategies to improve seller success and program quality metrics.
  • Be connected and influential within the Amazon BIE community, collaborating with data engineering and software development teams to capture and store key data points.

Qualifications

  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
  • 1+ years of SQL, ETL or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources
  • 1+ years of performing statistical analysis
  • 1+ years of developing automated reporting experience
  • 3+ years of in-the-job experience or related occupation
  • 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or 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 (Python) for data processing

Skills

Required:SQLETLData VisualizationData Modeling / WarehousingStatistical AnalysisPython

Benefits

  • Health insurance (medical, dental, vision, prescription) and Life & AD&D insurance
  • 401(k) matching
  • Paid time off
  • Parental leave
  • Flexible Spending Accounts
  • Adoption and Surrogacy Reimbursement coverage
  • EAP, Mental Health Support, Medical Advice Line
  • Option for Supplemental life plans
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

Amazon.com, Inc. or its affiliates

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