
Amazon Web Services (AWS) Middle East
Data Analyst
- Permanent
- Abu Dhabi, United Arab Emirates
- Experience 2 - 5 yrs
Job expiry date: 25/10/2026
Job overview
Date posted
10/09/2026
Location
Abu Dhabi, United Arab Emirates
Salary
Undisclosed
Compensation
Comprehensive package
Experience
2 - 5 yrs
Seniority
Experienced
Qualification
Bachelors degree
Expiration date
25/10/2026
Job description
Metrics drive nearly every decision at Amazon, and this Data Analyst role on the ICQA/Learning and Development Analytics Team exists to turn scattered data into clear answers. You create reports from data spread across multiple locations, surfacing root cause insights into quality defects and inventory adjustments. ICQA, Learning and Finance departments all rely on this role for data and analytical support. Data collection processes and data management systems get built and refined as part of the core work. Queries get designed, data gets compiled, and reports get generated in SQL, with charts and graphs supporting how that data gets presented. Dashboards built in Amazon Quicksight support business decision making and detailed trend analysis, while Python-based automation streamlines repetitive analysis tasks. Reports for Weekly Business Review, Quarterly Business Review and Project Updates get prepared and published on a regular cycle. Leadership gets support interpreting data trends, backed by in-depth research into defect trends and clear, digestible standard reporting.
Required skills
Key responsibilities
- Develop data collection processes and data management systems
- Design queries, compile data and generate reports in SQL
- Chart and graph data for reporting purposes
- Build dashboards in Amazon QuickSight to support business decision making and detailed trend analysis
- Create automation solutions for analysis using Python
- Prepare and publish reports for Weekly Business Review, Quarterly Business Review and Project Updates
- Support the leadership team in interpreting data trends
- Research defect trends in depth
- Present analysis in easily digestible standard reports
- Contribute to ICQA and Learning Team projects
Experience & skills
- Bring strong analytical skills, attention to detail and effective communication abilities
- Communicate clearly and concisely with leadership, stakeholders and cross-functional teams
- Manage and execute large projects from start to finish, including data gathering and modeling
- Show the ability to translate business and customer needs into the right solutions
- Apply experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda and IAM roles and permissions
- Carry experience training and deploying machine learning systems for large-scale optimizations, preferred