Supply Chain Data Analyst: AI Automation & Dashboards

Amazon; Cape Town; On-site; ZAR 360,000 - 600,000; Full time

Job summary

Amazon is seeking a data-driven, detail-oriented Supply Chain Data Analyst to support our Inbound programs in Cape Town. You will own the end-to-end data lifecycle, perform analysis to reporting and automation, and partner with cross-functional teams to improve Vendor Experience and reduce defects.

You will work with Vendor Managers, In-Stock Managers, FC Operations, and more to identify pain points, build dashboards, and lead weekly reviews for accountability and measurable improvements.

Qualifications

• Experience with Microsoft Office products and applications.
• 2+ years of FC Ops experience.

Responsibilities

• Data Analysis & Reporting: Extract and analyze data to identify root causes and trends. Publish weekly reports to stakeholders.
• SQL & Dashboards: Write and maintain SQL queries/ETL jobs from data warehouses. Build QuickSight/Tableau dashboards.
• AI-Driven Automation: Leverage internal GenAI tools to automate flows - reducing manual effort and improving accuracy.
• Weekly Review Ownership: Prepare data packs and lead the weekly calls. Track action items and ensure follow-through.
• Process Improvement: Collaborate cross-functionally to establish metrics, SOPs, and process improvements that reduce upstream defect injection. Share best practices across the org.
• Stakeholder Communication & Business Reviews: Translate data into actionable narratives for senior stakeholders.

Skills

Microsoft Office

FC Ops experience

SQL

MS Excel

Reporting

Program management

Tools

QuickSight

Tableau

Job description

Amazon is seeking a data-driven, detail-oriented Supply Chain Data Analyst to support our Inbound programs in Cape Town. You will own the end-to-end data lifecycle, perform analysis to reporting and automation, and partner with cross-functional teams to improve Vendor Experience and reduce defects.

You will work with Vendor Managers, In-Stock Managers, FC Operations, and more to identify pain points, build dashboards, and lead weekly reviews for accountability and measurable improvements.