L&D Data Analyst - UAE National, MEATR FC L&D
Summary
Analyze learning & development data to produce reports and dashboards that guide strategic decisions and measure program effectiveness using SQL, Python, and Tableau.
Amazon is a deeply data-driven organization with an unwavering obsession for metrics and continuous improvement. As a Data Analyst, you will play a pivotal role in transforming complex datasets from multiple sources into meaningful, actionable reports that drive business outcomes. You will uncover root-cause insights, identify trends, and deliver data-driven recommendations that directly influence decision-making.
Working in close partnership with Learning & Development teams, you will provide analytical expertise to support strategic initiatives, measure program effectiveness, and enable the business to operate with greater precision and impact.
Key job 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 and dive-deep activities
- 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
- Perform data collection, entry, and mining as needed to support operational goals
- Translate complex analyses into clear, digestible standard reports
- Support Learning team projects with analytical expertise and data-driven insights
Working in close partnership with Learning & Development teams, you will provide analytical expertise to support strategic initiatives, measure program effectiveness, and enable the business to operate with greater precision and impact.
Key job 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 and dive-deep activities
- 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
- Perform data collection, entry, and mining as needed to support operational goals
- Translate complex analyses into clear, digestible standard reports
- Support Learning team projects with analytical expertise and data-driven insights