Data Analyst

About
Amazon is a highly data-driven company that is obsessive about metrics. The Data Analyst plays a crucial role in creating unique reports from data available in multiple locations and providing vital insights into the root causes of quality defects and inventory adjustments. The 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 dashboards (Tableau and Quicksight) to support business decision-making and dive deep activities
• Developing automation solutions for analysis (Python script)
• Preparing and publishing reports for business reviews (Weekly Business Review, Quarterly Business Review, Project Updates)
• Supporting leadership teams on how to interpret data trends as needed
• In-depth research of defect trends
• Data collection and entry as needed
• Data mining and problem-solving
• Presenting analysis in easily digestible standard reports
• Providing support to ICQA & Learning Team projects

Basic Qualifications

• Proficient with Data Warehouse reporting and query design, ability to query web sources
• Proficient with SQL and QuickSight
• Proficient with scripting languages like Python/Julia
• Strong analytical, math, statistics, data analysis, listening, and communication skills
• Knowledge of AWS (Redshift, Lambda, S3)
• Good written and spoken English
• UAE nationals with family book only

Preferred Qualifications

• Initiative to develop tools, data collection processes, and data management systems
• Experience with Oracle, Ruby on Rails, and HTML
• Proven ability to work productively and efficiently in an independent setting
• Proven ability to clearly communicate with managers and associates at all levels
• Global perspective and solid understanding of business objectives
• Excellent attention to detail and a commitment to working with the highest level of accuracy
• Strong organizational and multitasking skills with the ability to balance competing priorities
• Statistical modeling experience (ML, forecasting, predictions)
• Knowledge of modern web application frameworks like Streamlit/Genie