Impact-Driven BI Engineer II

Jobright.ai

Seattle (WA)

On-site

USD 90,000 - 185,000

Full time

14 days+

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Job summary

Amazon Key team in Seattle, WA seeks a Business Intelligence Engineer II to transform customer delivery experience. You will design data platforms, optimize table structures, and develop dashboards to inform strategic initiatives.

Responsibilities include SQL, ETL, data modeling, Redshift/Oracle/NoSQL, and collaboration with cross-functional stakeholders to ensure data fidelity and actionable insights.

Qualifications

  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
  • Experience with data visualization using Tableau, Quicksight, or similar tools.
  • Experience with data modeling, warehousing and building ETL pipelines.
  • Experience in Statistical Analysis packages such as R, SAS and Matlab

Responsibilities

  • Design, implement, and support a platform providing ad hoc access to large datasets
  • Manipulate/mine data from database tables (ex. Redshift, MySQL, Oracle) using SQL and ETL
  • Develop analytical tools: deep-dive tools, UIs, metrics, and dashboard
  • Perform deep-dives and root cause analysis to answer business questions
  • Work with cross functional stakeholders in defining the source of truth and obsessively making sure the data fidelity is high
  • Effectively communicate (written and verbal) solutions and methodologies to senior leadership
  • Work with engineering teams to enable the appropriate capture and storage of data
  • Complete ad hoc data retrieval and analysis
  • Monitor existing metrics, develop and propose new metrics, and identify new, actionable risk signals

Skills

SQL
Data Visualization
ETL Pipelines
Data Modeling
Statistical Analysis
Python

Tools

Redshift
Oracle
NoSQL
Tableau
Quicksight
R
SAS
Matlab
AWS EC2
AWS S3
AWS DynamoDB
AWS Redshift

Job description

Amazon Key team in Seattle, WA seeks a Business Intelligence Engineer II to transform customer delivery experience. You will design data platforms, optimize table structures, and develop dashboards to inform strategic initiatives.

Responsibilities include SQL, ETL, data modeling, Redshift/Oracle/NoSQL, and collaboration with cross-functional stakeholders to ensure data fidelity and actionable insights.

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