Senior BI Engineer — AI-Driven Analytics Platform

Socket.dev

Seattle (WA)

On-site

USD 130,000 - 176,000

Full time

7 days ago
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Benefits offered by this job

Health insurance (medical, dental, etc
401(k) matching
Paid time off
Parental leave

Job summary

Amazon is seeking a Sr. Business Intelligence Engineer to own the end-to-end analytical roadmap for Amazon Quick. You will partner with product, business, finance, and engineering leaders to translate complex business questions into data-driven insights and scalable analytics.

You will help shape AI-enabled analytics capabilities and drive adoption and growth. You will work in one of the world’s largest data warehousing environments, delivering insights that influence product decisions and

Qualifications

  • 5+ years of SQL experience.
  • Experience programming to extract, transform and clean large data sets.
  • Experience with data modeling, warehousing and building ETL pipelines.
  • Experience with AWS technologies.
  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.

Responsibilities

  • Own and deliver the end-to-end analytical roadmap for Amazon Quick.
  • Generate data-driven insights to drive adoption, engagement, and growth at leadership level.
  • Build scalable data pipelines and models to derive key metrics from large datasets.
  • Collaborate with product, business, finance, and engineering leaders to translate complex problems into outputs.
  • Develop agentic capabilities to automate and accelerate analytical work.

Skills

SQL
ETL pipelines
Data modeling
AWS technologies
Python

Tools

QuickSight
Tableau

Job description

Amazon is seeking a Sr. Business Intelligence Engineer to own the end-to-end analytical roadmap for Amazon Quick. You will partner with product, business, finance, and engineering leaders to translate complex business questions into data-driven insights and scalable analytics.

You will help shape AI-enabled analytics capabilities and drive adoption and growth. You will work in one of the world’s largest data warehousing environments, delivering insights that influence product decisions and

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