Sr Business Intelligence Engineer , Rapid and Rural Logistics

Amazon

Bellevue, WA, US
On-site
Design scalable etl/elt data pipelines
Define operational kpi frameworks
Develop executive-facing dashboards
The job posting is for a Senior Business Intelligence Engineer at Amazon, specifically within the Rapid and Rural Logistics division in Bellevue, WA. The role involves building and managing the operational analytics ecosystem to support Amazon Now's ultra-fast delivery service, focusing on various operational pillars such as Finance, Supply Chain, Delivery, and Under-the-Roof operations

Job Summary

  • This role involves owning the operational analytics ecosystem for Amazon Now's ultra-fast delivery service across four critical pillars.
  • The successful candidate will build a greenfield analytics stack from scratch, defining measurement frameworks and data pipelines for a rapidly scaling business.
  • Key responsibilities include designing scalable data pipelines, creating executive dashboards, and conducting deep-dive analyses to identify operational bottlenecks.

Matching Summary

Match Score: 85

The job posting is for a Senior Business Intelligence Engineer at Amazon, specifically within the Rapid and Rural Logistics division in Bellevue, WA. The role involves building and managing the operational analytics ecosystem to support Amazon Now's ultra-fast delivery service, focusing on various operational pillars such as Finance, Supply Chain, Delivery, and Under-the-Roof operations.

Skills & Requirements

Must-have

  • Design scalable ETL/ELT data pipelines
  • Define operational KPI frameworks
  • Develop executive-facing dashboards
  • Conduct deep-dive cost reduction analysis
  • Partner with cross-functional leadership

Nice-to-have

  • Thrives in ambiguity and fast-paced environments
  • Experience building greenfield analytics stacks
  • Strong data storytelling and narrative skills
  • Ability to translate business questions into solutions

Key Requirements

  • Senior level experience in Business Intelligence or Data Engineering
  • Proven track record of building data infrastructure from scratch
  • Strong background in operational metrics and financial reporting

Work Rights

Not specified

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