L&D Data Analyst — Insights, Dashboards & Automation

Amazon; Dubai; On-site; AED 120,000 - 180,000; Full time

Job summary

Amazon is seeking a Data Analyst to transform complex datasets into actionable reports, uncover root-cause insights, and drive business outcomes in a data-driven environment. You will collaborate with Learning & Development teams to measure program effectiveness and enable precise business decisions.

Responsibilities include developing data collection processes, crafting SQL queries, and creating Tableau/QuickSight dashboards while building Python automation for recurring analyses and reporting

Qualifications

• Experience in presenting findings to stakeholders
• Proficient in MS Office (Excel, Word, PowerPoint, Outlook)
• Fluent English communication skills are required

Responsibilities

• Develop and maintain data collection processes and data management systems
• Design and execute SQL queries to compile, transform, and generate reports
• Create visualizations - charts, graphs, and dashboards (Tableau, QuickSight) - to support business decision-making
• Build automation solutions using Python to streamline recurring analyses
• Prepare and publish reports for business reviews (WBR, QBR, project updates)
• Partner with leadership to interpret data trends and provide actionable recommendations
• Conduct in-depth research into defect trends to identify root causes and improvement opportunities
• Translate complex analyses into clear, digestible standard reports
• Support Learning team projects with analytical expertise and data-driven insights

Skills

Communication

MS Office

English Fluency

SQL

Tableau

Python

Tools

Tableau

QuickSight

Python

Job description

Amazon is seeking a Data Analyst to transform complex datasets into actionable reports, uncover root-cause insights, and drive business outcomes in a data-driven environment. You will collaborate with Learning & Development teams to measure program effectiveness and enable precise business decisions.

Responsibilities include developing data collection processes, crafting SQL queries, and creating Tableau/QuickSight dashboards while building Python automation for recurring analyses and reporting