Data Analyst - UAE National, ICQA/LND Analytics Team

🏢 Amazon Alliance
📍 Abu Dhabi, United Arab EmiratesFull-timeOn-site
📅 Posted: 1w ago🔄 Updated: 1w ago
CV%
✨ AI Summary
Amazon is seeking a Data Analyst for its ICQA/LND Analytics Team in Abu Dhabi. This role is crucial for generating reports, providing insights into quality defects and inventory adjustments, and supporting the ICQA, Learning, and Finance departments. Responsibilities include developing data collection processes, designing queries, generating SQL reports, creating dashboards in Amazon Quicksight, automating analysis with Python, and preparing reports for business reviews. Basic qualifications include strong analytical skills, attention to detail, effective communication, experience managing large projects from start to finish, understanding business and customer needs, and experience with AWS technologies. Preferred qualifications include experience with training and deploying machine learning systems or development/technical support. The role specifically requires UAE Nationals.
Required Skills
Other
IAM roles and permissionsAmazon Quicksight
Requirements
The role requires strong analytical skills, attention to detail, and effective communication. Candidates should have experience managing large projects, including data gathering, modeling, problem-solving, and communicating recommendations. A good understanding of business and customer needs is essential to translate them into solutions.
Description
DescriptionAmazon is a highly data driven company highly obsessive about metrics. The Data analysts play a crucial role in creating unique reports from data available in multiple locations and providing vital insights into the root cause of quality defects and inventory adjustments. ICQA Data Analyst will work closely with the ICQA, Learning and Finance departments to provide data and analytical support for the business.Key job responsibilities Development of data collection processes and data management systems Designing of queries, compiling of data, and generation of reports in SQL Charting and graphing of data for reporting purposes Developing dashboard (Amazon Quicksight) to support business decision making and dive deep activities Develop automation solution for analysis (python) Prepare and publish reports for business reviews (Weekly Business Review, Quarterly Business Review, Project Updates) Supporting leadership team how to interpret data trends as needed In depth research of defect trends Data collection and entry as needed Present analysis in easily digestible standard reports Support to ICQA & Learning Team ProjectsBasic Qualifications Experience that includes strong analytical skills, attention to detail, and effective communication abilities Experience communicating clearly and concisely with leadership, stakeholders, and cross-functional teams Experience managing and executing large projects from start to finish, including project management, data gathering and modeling, problem solving, and communicating recommendations Experience understanding needs of business and end customers and translating them into right solutions Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissionsPreferred Qualifications Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience in development or technical supportOur 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.Company - Q-Express Documents TransportJob ID: A10515224
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00