BI Engineer - Finance Analytics & Insights

Amazon Inc.

Seattle (WA)

On-site

USD 82,000 - 144,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
RSUs
Paid time off
Parental leave

Job summary

Amazon.com Services LLC is seeking a creative and analytical Business Intelligence Engineer for the AWS ACES BI team in Seattle. You will gather requirements, design end-to-end data analyses, and enable stakeholders with data-driven insights to optimize business performance.

The role emphasizes SQL, ETL, data wrangling, and strong communication in a fast-paced environment, with opportunities to apply AI to automate workflows and drive data democratization.

Qualifications

  • 2+ years of experience analyzing data with SQL-based systems and data warehouses.
  • Experience with BI visualization tools (Tableau, QuickSight, PowerBI) and statistical methods.
  • Proficiency in scripting languages (Python, R, or Java) and data wrangling best practices.

Responsibilities

  • Gather requirements from business customers and deliver data analytical solutions.
  • Understand underlying business questions behind data requests and goals.
  • Own design, development, and maintenance of ongoing metrics and analyses for key decisions.
  • Adopt data governance practices, ensure data integrity and documentation.
  • Leverage AI/automation to streamline analyses and reveal patterns in complex data.
  • Promote data democratization and self-service across teams.

Skills

Analytical mindset
Strong communication
Ambiguity handling

Education

Master's degree or Advanced technical degree

Tools

SQL
Tableau
Quicksight
PowerBI
Python
R
Java
ETL

Job description

Amazon.com Services LLC is seeking a creative and analytical Business Intelligence Engineer for the AWS ACES BI team in Seattle. You will gather requirements, design end-to-end data analyses, and enable stakeholders with data-driven insights to optimize business performance.

The role emphasizes SQL, ETL, data wrangling, and strong communication in a fast-paced environment, with opportunities to apply AI to automate workflows and drive data democratization.

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