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Amazon Data Analyst SC | UAE National, AMET Supply Chain in Dubai, United Arab Emirates

Description

Amazon is looking for a Data Analyst to drive Supply Chain strategic programs for the Africa, Middle East and Türkiye region.

This role requires an individual with excellent analytical abilities, outstanding business acumen and excellent written and oral communication skills. The successful candidate will have to build strong understanding of different supply chain planning models and the underlying analytics, and the ability to assimilate methodologies and data sources. They will be a self-starter comfortable with ambiguity, with strong attention to detail, be vocally self-critical, and with an ability to work in a fast-paced and ever-changing environment.

The analytical complexity for the position is well beyond basic data entry and research. It involves complex analysis and diving deep into key metrics, building and maintaining multiple databases.

A day in the life

You’ll work both independently and collaboratively on projects, from development to delivery. You might spend your morning gathering data and feedback to assess a program pilot, then spend your afternoon discussing a resourcing plan for another project. You will collaborate with other teams, track project progress, and share updates with key stakeholders.

Amazon is a data-driven business, so no matter which project you are implementing, part of your role will involve gathering insights to make decisions. You’ll trial different ideas, analyze data to identify potential challenges, and present your findings to senior teams.

Basic Qualifications

Bachelor degree

UAE nationals with family book

Relevant experience working in a data analytical role with multiple stakeholders

Relevant experience in analyzing quantitative data effectively to drive decisions

Relevant experience working with the MS Office suite (Word, Excel, Outlook) and/or SQL in a professional environment

Preferred Qualifications

Preferred qualifications

Experience working in an operational environment or with technical teams

Experience collaborating with teams based in different locations and external partners

High proficiency in Python

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