Data Analyst, TOM Program & Analytics
Posted Updated
Amazon's Transportation Operations Management (TOM) Central Programs org is driving change in the Middle Mile. The TOM PMO & Analytics team is looking for a Data Analyst to work within the Analytic Insights team to help drive data-driven decision-making, measurement, and reporting across TOM operations. In this role, you would be responsible for building, maintaining, and optimizing dashboards, metrics, and analytical solutions that support operational improvements and stakeholder needs across the organization. The TOM PMO & Analytics team delivers best-in-class centralized management of metrics, reporting, data quality, and analytical insights to drive TOM in-yard operational improvements across the Middle Mile.
Key job 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
- Perform root cause analysis on metric variances and present findings with actionable recommendations to leadership
- Ensure data integrity and quality across TOM dashboards by defining and enforcing data standards and validation processes
- Support Weekly Business Reviews (WBRs) and other leadership mechanisms by preparing data-driven insights and variance callouts
- Collaborate cross-functionally with various teams to translate business requirements into analytical solutions
- Create and maintain documentation for data sources, metric definitions, data lineage, and standard operating procedures
About the team
The TOM Program & Data Analytics team integrates strategic program management with analytics transformation across three pillars: 1. Program Execution — Drives end-to-end ownership of metric improvement, product development, and CPI initiatives from concept to measurable impact. 2. Change Management & Strategic Communication — Governs review, approval, and adoption of changes to standard work, policy, pilots, and proposals while aligning stakeholders through strategic communications. 3. Data & Analytics Insights — Ensures teams operate from accurate, timely metrics to identify gaps, measure progress, and make data-informed decisions. Together, these pillars enable TOM to execute programs, govern change, and run the business with data.
Key job 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
- Perform root cause analysis on metric variances and present findings with actionable recommendations to leadership
- Ensure data integrity and quality across TOM dashboards by defining and enforcing data standards and validation processes
- Support Weekly Business Reviews (WBRs) and other leadership mechanisms by preparing data-driven insights and variance callouts
- Collaborate cross-functionally with various teams to translate business requirements into analytical solutions
- Create and maintain documentation for data sources, metric definitions, data lineage, and standard operating procedures
About the team
The TOM Program & Data Analytics team integrates strategic program management with analytics transformation across three pillars: 1. Program Execution — Drives end-to-end ownership of metric improvement, product development, and CPI initiatives from concept to measurable impact. 2. Change Management & Strategic Communication — Governs review, approval, and adoption of changes to standard work, policy, pilots, and proposals while aligning stakeholders through strategic communications. 3. Data & Analytics Insights — Ensures teams operate from accurate, timely metrics to identify gaps, measure progress, and make data-informed decisions. Together, these pillars enable TOM to execute programs, govern change, and run the business with data.