Amazon

Supply Chain Analyst, Supply Chain Execution

Amazon  •  Cairo, EG (Onsite)  •  1 hour ago
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Job Description

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.

Amazon

About Amazon

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.

Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.

Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.

You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

Industry
IT & Software
Company Size
10,000+ employees
Headquarters
Seattle, WA
Year Founded
Unknown
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