Data Analyst - UAE National, ICQA/LND Analytics Team

🏢 Amazon Robotics
📍 Abu Dhabi, United Arab EmiratesFull-timeOn-site
📅 Posted: Today🔄 Updated: Today
CV%
✨ AI Summary
Amazon is seeking a Data Analyst for their ICQA/LND Analytics Team in Abu Dhabi. This role involves developing data collection and management systems, designing queries, generating reports in SQL, and creating dashboards using Amazon Quicksight. The analyst will also develop automation solutions using Python and prepare reports for business reviews. Key responsibilities include in-depth research of defect trends, data collection, and presenting analysis in an easily digestible format. The position requires a UAE National with strong analytical, communication, and project management skills, including experience in data gathering, modeling, and problem-solving.
Required Skills
Other
Amazon Quicksight
🎁 Benefits & Perks
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.
Requirements
The role requires strong analytical skills, attention to detail, and effective communication. Candidates must have experience managing projects from start to finish, including data gathering, modeling, problem-solving, and communicating recommendations. Experience understanding business needs and translating them into solutions is also essential.
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