Level

Amazon

Supply Chain Analyst, Supply Chain Execution

Amazon is hiring a Supply Chain Analyst, Supply Chain Execution in Cairo, Egypt. Level rates it ; you can apply on Level.

AI in this role

Analyze supply chain data, build dashboards, and leverage GenAI tools to automate workflows and reduce defects.

sqlquicksighttableaupower-biexcelpython
supply-chaindata-analysisetlautomationgenai
Amazon's Supply Chain team is looking for a data-driven, detail-oriented Supply Chain Data Analyst to support our Inbound programs. In this role, you will own the end-to-end data lifecycle, analysis to reporting and automation & partnering with cross-functional teams to improve Vendor Experience and reduce defects.

You will work closely with Vendor Managers, In-Stock Managers, RBS, and FC Operations to identify vendor and operations pain points, build dashboards, automate workflows using AI tools, and lead weekly review cadences that drive accountability and measurable improvement.

This is a high-visibility role where your analysis directly influences operational decisions and vendor performance actions.

Key job 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.


Basic qualifications

- Speak, write, and read fluently in English
- Bachelor's degree
- 3+ years of data analysis experience
- Experience creating complex SQL queries joining multiple datasets, ETL DW concepts
- Knowledge of SQL/ETL
- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.
- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages

Preferred qualifications

- 2+ years of developing automated reporting experience
- Experience using data and metrics to drive improvements
- Knowledge of supply chain management concepts - forecasting, planning, sourcing, optimization and logistics or equivalent
- Knowledge of six Sigma/Lean processes
- Proficiency in Python for data analysis, scripting, and automation.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Supply Chain Analyst, Supply Chain Execution at Amazon rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Supply ChainData AnalysisETLAutomationGenaiSQLQuicksightTableau

Questions you could be asked

  1. Tell me about a project where supply chain was part of your work. What did you do?
  2. Tell me about a project where data analysis was part of your work. What did you do?
  3. Tell me about a project where etl was part of your work. What did you do?
  4. Tell me about a project where automation was part of your work. What did you do?
  5. Tell me about a project where genai was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Supply Chain, Data Analysis, ETL, Automation, and Genai. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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