Business Intelligence Engineer, Search Capacity
Amazon · Tokyo, Japan · Business Intelligence
mid
data engineering
Analytics Engineer
ic
3+ yrs Bachelor's
· Posted Jan 8, 2026
Skills
AI Summary
Business Intelligence Engineer supporting Amazon Search's capacity planning and resource optimization. Develops forecasting models, tracks performance metrics, and automates scaling decisions for distributed search systems serving millions of customers. Requires 3+ years in data engineering/BI, SQL expertise, Python scripting, and statistical analysis skills.
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.
- Experience with forecasting and statistical analysis
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- 3+ years of data engineering, database engineering, business intelligence or business analytics experience
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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 in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- Experience with forecasting and statistical analysis
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- 3+ years of data engineering, database engineering, business intelligence or business analytics experience
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Preferred Qualifications
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.