Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, Amazon Search service go to work.
We design, develop, and deploy high performance, fault-tolerant, distributed search systems used by millions of Amazon customers every day.As a Business Intelligence Engineer in the Search Capacity team, you will:
- Scale the Amazon Search service by working closely with service owners in engineering and operations to understand the service in depth and drive optimal scaling and capacity planning.
- Identify and track key performance metrics around efficiency and costs.
- Manage planning, ordering, and budgeting for hardware and other computational resources.
- Develop and improve tools for automating the foregoing responsibilities wherever possible.
- Analyze resource utilization and performance test data to identify variables impacting performance and scalability. Develop models for required hardware resources to meet current and future SLAs.
Basic Qualifications:
- Bachelor's degree or above in statistics, business analytics, data analytics, data science, computer science or related field
- Experience with data querying or modeling with SQL
- Experience with scripting language (e.g., Python, Java, or R)
- Experience applying basic statistical methods (e.g. regression) to difficult business problems
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. ttest, Chisquared)
Preferred Qualifications:
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, corelation analysis
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 you're applying in isn't listed, please contact your Recruiting Partner.-
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