Data Analyst - UAE National, ICQA/LND Analytics Team

🏢 Amazon
📍 Dubai, United Arab EmiratesFull-timeOn-site
📅 Posted: 1w ago🔄 Updated: 1w ago
CV%
✨ AI Summary
Amazon is seeking a Data Analyst for their ICQA/LND Analytics Team in Dubai. The role involves developing data collection processes, designing SQL queries, generating reports, creating dashboards using Amazon Quicksight, and developing automation solutions with Python. The analyst will prepare reports for business reviews, support the leadership team in interpreting data trends, and conduct in-depth research of defect trends. This position requires strong analytical skills, attention to detail, effective communication, and project management experience, with a preference for candidates experienced in AWS technologies and machine learning deployment.
🎁 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Requirements
Must have 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 permissions.
Description
Job Description : Amazon 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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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