The Amazon Search team creates customer-focused search solutions and technologies. 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.
- Bachelors 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. t-test Chi-squared)
- Masters degree or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis co-relation analysis
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