BI Engineer: AWS Finance & Analytics to Power Decisions

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 100,000 - 160,000

Full time

6 days ago
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Benefits offered by this job

Health insurance (medical, dental, and
401(k) matching
Paid time off

Job summary

Amazon.com Services LLC is hiring a creative, analytical BI Engineer to join the ACES/BI teams in Seattle. You will work with stakeholders to gather requirements, design metrics, and deliver data-driven insights that optimize sales operations and performance.

Strong SQL, Python, ETL, and data-wrangling skills are essential, with comfort in ambiguity and a fast-paced environment. Ideal candidates collaborate well with Finance and Business teams, own end-to-end data solutions, and leverage AI to

Qualifications

  • 3+ years analyzing data with Redshift, Oracle, NoSQL.
  • Experience with data modeling, warehousing and ETL pipelines.
  • Experience using Python to process data for modeling.
  • SQL to pull data from a database and Python scripting to process data.

Responsibilities

  • Gather requirements from business customers and deliver complete data analytical solutions.
  • Own the design, development, and maintenance of ongoing metrics and analyses used to drive key business decisions.
  • Recognize and adopt best practices for data integrity, accuracy, and documentation.
  • Leverage AI and emerging innovation to automate workflows and uncover patterns.
  • Drive data democratization so teams can self-serve their data needs.

Skills

SQL
Python
Data modeling
ETL pipelines
Data wrangling
Communication

Tools

AWS Redshift
Oracle
NoSQL
ETL tools

Job description

Amazon.com Services LLC is hiring a creative, analytical BI Engineer to join the ACES/BI teams in Seattle. You will work with stakeholders to gather requirements, design metrics, and deliver data-driven insights that optimize sales operations and performance.

Strong SQL, Python, ETL, and data-wrangling skills are essential, with comfort in ambiguity and a fast-paced environment. Ideal candidates collaborate well with Finance and Business teams, own end-to-end data solutions, and leverage AI to

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