Transportation Operations Data Analyst: Insights

Amazon; Arlington (VA); On-site; USD 32,000 - 48,000; Full time

Benefits offered by this job

Health benefits

RSU stock units

401(k) matching

Job summary

Amazon’s TOM Central Programs team seeks a Data Analyst to support the Analytic Insights group. You will build dashboards, define KPIs, and drive data-driven decisions for Middle Mile operations across the TOM organization.

Responsibilities include designing dashboards, analyzing freight datasets, automating data pipelines, and presenting actionable insights to leadership. This role emphasizes data quality, scalability, and cross-functional collaboration.

Qualifications

• Bachelor's degree or equivalent.
• Knowledge of a modern programming language (Ruby, Java, Python, or C#).
• Experience using data to drive root cause elimination and process improvement.
• Experience using data and metrics to drive improvements.

Responsibilities

• Design, build, and maintain dashboards and reports using Amazon QuickSight and other BI tools to support TOM operational metrics and leadership reporting.
• Analyze large-scale transportation operations datasets to identify trends, anomalies, and opportunities for operational improvement.
• Partner with program managers and operational stakeholders to define KPIs, establish measurement frameworks, and ensure consistent metric accountability.
• Develop and automate data pipelines, ETL processes, and reporting workflows to improve data accuracy and reduce manual effort.
• Implement and maintain AI-powered tools and automation to streamline data intake triage, stakeholder reporting, and operational analytics.

Skills

Data-driven decision making

Analytical mindset

Cross-functional collaboration

Education

Bachelor's degree or equivalent

Tools

Power BI

SQL

Python

Tableau

Job description

Amazon’s TOM Central Programs team seeks a Data Analyst to support the Analytic Insights group. You will build dashboards, define KPIs, and drive data-driven decisions for Middle Mile operations across the TOM organization.

Responsibilities include designing dashboards, analyzing freight datasets, automating data pipelines, and presenting actionable insights to leadership. This role emphasizes data quality, scalability, and cross-functional collaboration.