Supply Chain Network Design Manager I – Data Insights

Amazon Inc.; Santa Clara (CA); On-site; USD 71,000 - 106,000; Full time

Job summary

Amazon.com Services LLC in Santa Clara, CA is seeking a Supply Chain Manager I for Network Design, Planning & Engineering. You will turn data into actionable insights, design network design plans, and drive improvements across the transportation network.

Collaborate with product, science, and engineering; build dashboards; analyze performance; influence planning and forecasting decisions, with ownership from day one.

Qualifications

• 2+ years of program or project management experience.
• 1+ years of supply chain experience.
• Knowledge of Lean principles and DMAIC methodology.
• Experience in MS Access and SQL.
• Experience in requirement gathering and ability to write clear and detailed requirement document.

Responsibilities

• Partner with teammates across product, science, and engineering to understand what questions the business needs answered — then design and deliver the data solutions to answer them.
• Build detailed network design recommendations along with maintaining interactive AI dashboards/visualizations that track how the transportation network is performing.
• Conduct deep-dive analyses into operational performance, uncover root causes of issues, and recommend improvements backed by data.
• Proactively look for ways to make existing reports and dashboards faster, more accurate, and easier to use.
• Analyze historical trends and key lessons learned from previous experiences to surface insights that support planning and forecasting decisions.

Skills

2+ years of program or project

1+ years of supply chain

Tools

MS Access

SQL

Job description

Amazon.com Services LLC in Santa Clara, CA is seeking a Supply Chain Manager I for Network Design, Planning & Engineering. You will turn data into actionable insights, design network design plans, and drive improvements across the transportation network.

Collaborate with product, science, and engineering; build dashboards; analyze performance; influence planning and forecasting decisions, with ownership from day one.