Senior Data Analyst – Supply Chain Long-Term Planning

Amazon Inc.; Georgia; On-site; USD 120,000 - 165,000; Full time

Job summary

Amazon Inc. in the United States is seeking a Lead Data Analyst for Supply Chain Long-Term Planning to shape transportation and inventory strategies with data-driven insight.

You will split time between analytics management and cross-functional program delivery, partnering with teams across the US to accelerate speed, lower costs, and improve sustainability of the end-to-end supply chain. The role requires strong SQL and AI techniques, excellent communication, and the ability to influence

Qualifications

• Bachelor's degree or MBA in computer science, engineering, analytics, mathematics, statistics, IT or equivalent.
• Experience in an analytical field, supply chain or consulting firm.
• Ability to lead and structure projects, liaising and collaborating with internal partners to influence direction and roadmaps, despite competing priorities.
• Strong oral and written communication skills are crucial, in particular the ability to synthetize clearly complex issues.

Responsibilities

• Steer long-term transportation and inventory planning to deliver end-to-end benefits (speed, cost, sustainability).
• 50% analytical activities management and 50% project/stakeholder management.
• Use and share insights with partner teams to influence/build a roadmap of projects to accelerate speed of deliveries.
• Lead pilots, build scale-up business cases with benefits, bottlenecks, risks and resources required.
• Consolidate progress into data-driven status updates and report to Amazon senior leadership.

Skills

Analytical mindset

Project leadership

Communication skills

SQL

Data analytics

Education

Bachelor's degree or MBA

Master's degree preferred

Job description

Amazon Inc. in the United States is seeking a Lead Data Analyst for Supply Chain Long-Term Planning to shape transportation and inventory strategies with data-driven insight.

You will split time between analytics management and cross-functional program delivery, partnering with teams across the US to accelerate speed, lower costs, and improve sustainability of the end-to-end supply chain. The role requires strong SQL and AI techniques, excellent communication, and the ability to influence