Business Intelligence Engineer - SCOT, Fulfillment Optimization, SCOT-FO

Amazon

Bellevue, WA, US
99,500.00 - 160,000.00 usd annually py
On-site
Build automated data pipelines
Develop ai-assisted analytical workflows
Design self-service dashboards
Amazon's Fulfillment Optimization Team is seeking a Business Intelligence Engineer in Bellevue, WA, to enhance data architecture and reporting systems that optimize order fulfillment. The role requires a blend of analytical expertise and a builder's mindset to create automated reporting and AI-assisted workflows, ultimately impacting fulfillment costs and decision-making across the organization

Job Summary

  • The role involves owning the data architecture and reporting infrastructure for Units per Box, Destination Demand Forecast, and Cube per Package inputs across global marketplaces.
  • Candidates will build automated pipelines that produce weekly forecast bridges, variance decompositions, and accuracy tracking consumed by leadership cycles.
  • Amazon offers a full range of benefits including Medical, Dental, Vision Coverage, Maternity and Parental Leave Options, Paid Time Off, and a 401(k) Plan.

Matching Summary

Match Score: 85

Amazon's Fulfillment Optimization Team is seeking a Business Intelligence Engineer in Bellevue, WA, to enhance data architecture and reporting systems that optimize order fulfillment. The role requires a blend of analytical expertise and a builder's mindset to create automated reporting and AI-assisted workflows, ultimately impacting fulfillment costs and decision-making across the organization.

Salary

99,500.00 - 160,000.00 USD annually

Skills & Requirements

Must-have

  • Build automated data pipelines
  • Develop AI-assisted analytical workflows
  • Design self-service dashboards
  • Drive data quality improvement projects
  • Collaborate with software development teams

Nice-to-have

  • Builder's mindset
  • Deep analytical skills
  • Partner with research scientists
  • Translate model improvements to business impact

Key Requirements

  • Experience with large-scale forecasting datasets
  • Ability to implement analytics systems for ML model delivery
  • Background in data contracts and monitoring freshness/completeness

Work Rights

Not specified

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