As a Business Analyst on the Amazon Fresh Grocery Partnerships & Amazon Now team, you’ll play a hands-on role in turning raw data into automated reports and live dashboards that power critical business decisions. You’ll partner closely with Business, Product, and Program stakeholders to build, maintain, and enhance reporting pipelines using SQL and AWS QuickSight, ensuring all teams can monitor trends, spot anomalies, and drive continuous improvement.
Key job responsibilities
Report Automation:
Design, develop, and maintain SQL-driven ETL scripts to extract, transform, and load data from multiple sources into reporting tables
Ad-hoc Analysis:
Write optimized SQL queries to answer business questions, e.g., weekly sales trends, partner performance, inventory health, and present findings in clear, actionable formats
Dashboard Development:
Leverage AWS QuickSight to build and iterate on interactive dashboards that track key metrics and alert stakeholders to performance shifts
Data Quality Checks:
Implement simple data-validation routines and monitors to ensure report accuracy and flag upstream issues for resolution
A day in the life
Morning Data Health Check
– Kick off your day by reviewing overnight ETL jobs and QuickSight dashboards for freshness, accuracy, and performance anomalies
Ad-Hoc Analysis & Reporting
– Turn stakeholder questions into SQL queries: investigate delivery delays, or inventory stockouts
Dashboard Development & Iteration
– Prototype new visualizations in AWS QuickSight, tracking metrics like order cycle time, cost per delivery, and promotional uplift
About the team
You’ll join the Amazon Fresh Grocery Partnerships & Amazon Now Analytics team covering Saudi Arabia and the United Arab Emirates, an agile, high-energy group on a mission to bring fresh groceries and everyday essentials to customers’ doors in just 15–20 minutes.
As part of this close-knit team, you’ll see your analysis translate directly into smoother fulfillment, happier customers, and stronger partnerships across the GCC regionBachelor’s degree (or equivalent) in Business Analytics, Economics, Computer Science, Engineering, or a related quantitative field
2+ years of hands-on experience writing SQL queries against large datasets
Practical experience building and maintaining dashboards in Data Visualisation Tools like; Tableau, Power BI or Amazon Quicksight
Strong attention to detail and a proactive mindset for identifying and resolving data-quality issues
Excellent verbal and written communication skills; able to translate technical insights into clear recommendations for non-technical stakeholders
Comfort working in a fast-paced, ambiguous environment and collaborating across multiple teams (Operations, Product, Finance, and external partners)Familiarity with basic ETL concepts and data-pipeline maintenance
Hands-on experience building and iterating dashboards in AWS QuickSight
Experience scripting in Python (or similar) to support data transformations and workflow automation
Exposure to AWS data services such as Redshift, S3, Glue, or comparable cloud-based warehouses
Prior work in a fast-paced, operations-driven environment (e-commerce, grocery, logistics, or rapid-delivery)
Demonstrated ability to rapidly learn new tools and frameworks with minimal supervision
Strong problem-solving mindset and ability to balance multiple priorities in an ambiguous setting.
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