Data-Driven Supply Strategy Analyst, Carrier Services

Amazon; Atlanta (GA); On-site; USD 34,000 - 45,000; Full time

Job summary

Amazon is seeking a Supply Strategy Analyst for Carrier Services, Procurement to support data-driven decisions for the Canada middle mile network. You will pull and analyze data, support reporting, and balance cost with capacity while collaborating with Finance, CTS, and Planning teams.

The role emphasizes SQL/Excel proficiency, large dataset handling, and clear reporting delivery in a fast-paced logistics environment.

Qualifications

• High school or equivalent diploma.
• Excel at an intermediate level (pivot tables, charts, lookups, formulas).
• Experience managing large datasets and driving performance improvements.
• 1+ years in program management, logistics, or supply chain.
• 1+ years of management experience.
• Bachelor's degree.
• Experience with SQL.

Responsibilities

• Pull and consolidate supply program data across Day Rate, Relay Freight Auction, and Relay Load Board supply types to support weekly, quarterly, and annual planning cycles.
• Prepare and maintain Weekly Business Review (WBR) reporting and the Canada Supply Flash with variance and trend analyses.
• Support standardization of Canada supply planning processes, POR tracking, and HVE planning cycles.
• Track weekly volume forecasts and flag variances to the planning team.
• Gather MM linehaul demand/capacity inputs for the Canada Network Optimization run with cross-team collaboration.
• Respond to ad hoc data and reporting requests from team leads and stakeholders.

Skills

SQL

Excel

Data analysis

Large datasets

Education

Bachelor's degree

High school diploma

Tools

Git or BI tools

Job description

Amazon is seeking a Supply Strategy Analyst for Carrier Services, Procurement to support data-driven decisions for the Canada middle mile network. You will pull and analyze data, support reporting, and balance cost with capacity while collaborating with Finance, CTS, and Planning teams.

The role emphasizes SQL/Excel proficiency, large dataset handling, and clear reporting delivery in a fast-paced logistics environment.