BI Engineer II: Drive DSP Analytics & Insights

Amazon Inc.; Factoria (WA); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Job summary

Amazon is seeking a Business Intelligence Engineer II for DSP Analytics to uncover actionable insights driving DSP capacity planning and delivery quality. You will partner with engineering, product, and data teams to build scalable data solutions and dashboards.

Responsibilities include end-to-end analytics, data modeling, ETL pipelines, and reporting to enable data-driven decisions for DSP growth and reliability.

Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with data visualization using Tableau or Quicksight.
• Experience writing complex SQL queries.
• Experience in statistical analysis packages such as R, SAS and Matlab.

Responsibilities

• Earn the trust of customers by obsessing over data use cases and needs.
• Manage analytics solutions end-to-end including data gathering, modeling and insights.
• Build high quality data architecture and ETL data pipelines using SQL and scripting.
• Retrieve and analyze data using Redshift, S3 and other data technologies.
• Design, build, and maintain automated reporting and dashboards.
• Report key insight trends to inform the team and stakeholders.
• Partner with scientists to scale models and improve architectures.
• Accelerate GenAI footprint by expanding tools and improving developer productivity.

Skills

SQL

Python

Data visualization

Statistical analysis

Data modeling

ETL pipelines

Tools

Redshift

Oracle

NoSQL

Tableau

Quicksight

AWS

Job description

Amazon is seeking a Business Intelligence Engineer II for DSP Analytics to uncover actionable insights driving DSP capacity planning and delivery quality. You will partner with engineering, product, and data teams to build scalable data solutions and dashboards.

Responsibilities include end-to-end analytics, data modeling, ETL pipelines, and reporting to enable data-driven decisions for DSP growth and reliability.