As a Business Analyst on the Amazon Fresh Grocery Partnerships & Amazon Now team youll play a hands-on role in turning raw data into automated reports and live dashboards that power critical business decisions. Youll 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
Youll 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 1520 minutes.
As part of this close-knit team youll see your analysis translate directly into smoother fulfillment happier customers and stronger partnerships across the GCC region
Bachelors 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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