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.
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. t-test, Chi-squared)
Preferred Qualifications
Master's 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 you're applying in isn't listed, please contact your Recruiting Partner.Company - Amazon Japan G.K.
Job ID:
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