The Stores Worldwide Intelligence & Finance Technology (SWIFT) team provides reporting, analytics, and automation support to multiple teams across Amazon. If you enjoy dealing with high ambiguity, complexity, and broad scope, come join us!
Key job responsibilities:
- Understand Amazon's data resources, which to use, how, and when.
- Query large datasets across multiple platforms.
- Design, develop, and maintain scaled, automated, user-friendly reports, and dashboards enabling stakeholders to manage the business and make effective decisions.
- Develop and support the analytical technologies that give our customers timely, flexible, and structured access to their data.
- Define, develop, and maintain critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis.
- Analyze historical data to extract meaningful insights and learnings from large and complicated data sets, identify trends, and support decision making, including written and verbal presentation of results and recommendations.
- Implement training and documentation solutions that enable stakeholders to get the most out of our self-serve reporting tools.
- Work with PM/BIE/DE/Finance managers in understanding the business requirements and implementing solutions to support analytics and reports.
About the team:
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. experience.
- Experience with data visualization using Tableau, Quicksight, or similar tools.
- Experience with data modeling, warehousing, and building ETL pipelines.
- Experience in Statistical Analysis packages such as R, SAS, and Matlab.
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
Preferred qualifications:
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business.
- Experience in data mining, ETL, etc., and using databases in a business environment with large-scale, complex datasets.
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