BIE, Speed Benchmarking, CXBT Capability Team
Job Summary
Key job responsibilities
- Build and maintain data pipelines ETL jobs and data models that power competitive delivery-speed benchmarking across your assigned geography or horizontal function ensuring data freshness accuracy and completeness.
- Write and optimize SQL/PySPARK queries to produce weekly and monthly speed benchmark reports translating raw data into actionable insights for regional leads and senior leadership.
- Collaborate with Product Managers Program Managers and peer Business Intelligence Engineers to align data definitions standardize metrics and support the onboarding of new geographies into the benchmarking platform.
- Investigate data anomalies root-cause quality issues and implement validation checks so that discrepancies are caught before they reach stakeholders.
- Maintain clear documentation of your data artifacts and analytical methodology and identify opportunities to automate manual processes for improved pipeline reliability and reporting efficiency.
A day in the life
You will start your day checking pipeline health and dashboard accuracy for your assigned geography then move into writing or refining SQL queries that feed the latest benchmarking signals into Pulse. You might spend part of the afternoon investigating a data discrepancy flagged by a regional lead or meeting with a Product Manager to scope a new competitive analysis. Between tasks you will review a teammates code update your documentation and brainstorm ways to automate a manual reporting step.
About the team
The Speed Measurement and Analytics team sits within Amazons Customer Experience and Business Trends (CXBT) organization. Our mission is to give Worldwide Stores a single trusted view of how Amazons delivery speed compares to competitors globally. We are a collaborative group of Business Intelligence Engineers and Product Managers working together to expand coverage to new geographies and new speed signals. Joining now means you will help build not just maintain the platform that shapes Amazons speed investment strategy.
- 2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI) and statistical methods (e.g. t-test Chi-squared)
- Experience with scripting language (e.g. Python Java or R)
- Masters degree or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis co-relation analysis
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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About Company
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