Trans Topology Data Analyst, Supply Chain Transportation Planning, Supply Chain

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If you are a supply chain professional with a passion to innovate and contribute in a fast paced growing environment, you might be a good fit to join Amazon.com Supply chain team. This role involves big data handling and cross functional communication. The candidate is expected to have exceptional analytical, planning and written/verbal communication skills along with preferred experience in managing transportation function in retail domain.
Key job responsibilities
Support the end-to-end execution of transportation topology node launches. This will involve monitoring multiple operational dashboards, managing change requests from partner teams within the day, and coordinating launch activities across last mile and middle mile nodes from an execution standpoint. You will be expected to deploy requested jurisdiction changes within the set SLA with a high degree of accuracy, while simultaneously tracking topology launch milestones and flagging execution risks in real time. A high bar on attention to detail is essential - ensuring all requested changes and launch actions are completed accurately, fully, and on time.
A day in the life
Collect and analyze data
Transportation topology jurisdiction changes and analysis
Agentic AI solve for automation
Support business growth in constrained environment with innovative and automated solutions
Work on scaling up processes at a quick pace, by identifying, implementing available tools/automation.
Rollout best practices from other geographies/ companies to minimize end to end supply chain losses
Utilize problem-solving and communication skills to influence business, operations and technical audiences
Bring data driven solutions using analytical skills to contribute operations and growth in the organization

Basic Qualifications :

- Bachelor's degree
- Experience with Microsoft Office products and applications
- Speak, write, and read fluently in English

Preferred Qualifications :

- Candidate must have basic Supply Chain/Planning knowledge through work experience or coursework High proficiency in SQL, Python, and Microsoft Excel
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