NA Transportation BI Engineer — Dashboards & Insights

Amazon Inc.; Irving (TX); On-site; USD 82,000 - 144,000; Full time

Job summary

Amazon is seeking a proactive Business Intelligence Engineer in North America Transportation Services to help improve delivery cost, customer experience, and performance across our transportation systems.

You will build dashboards using SQL, Redshift/S3, and visualization tools such as Tableau or QuickSight, collaborate with data engineers, and automate reporting with Python or R in a fast-paced, collaborative environment.

Qualifications

• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
• Experience with data visualization using Tableau, QuickSight, or similar tools
• Experience with industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
• Experience with scripting language (e.g., Python, Java, or R)

Responsibilities

• Build and maintain reports, dashboards, and data sets using SQL, AWS Redshift/S3, and visualization tools
• Support the creation and monitoring of transportation metrics related to delivery cost and customer experience
• Perform data gathering, analysis, and validation to answer business questions from program owners
• Conduct ad hoc analyses to investigate transportation issues and present recommendations
• Contribute to automating manual reporting processes by writing scripts in Python or R
• Collaborate with data engineers and BI engineers to learn data architecture best practices

Skills

SQL & querying

Redshift data handling

Data visualization

Scripting (Python/R)

Education

Master's degree or advanced technical degree

Tools

Tableau

QuickSight

Excel

PowerBI

Job description

Amazon is seeking a proactive Business Intelligence Engineer in North America Transportation Services to help improve delivery cost, customer experience, and performance across our transportation systems.

You will build dashboards using SQL, Redshift/S3, and visualization tools such as Tableau or QuickSight, collaborate with data engineers, and automate reporting with Python or R in a fast-paced, collaborative environment.