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
About this role
Amazon is hiring a mid-level Analytics Engineer in the data engineering function based in Tokyo, Japan. The posting calls out experience with Python, SQL, AWS, DynamoDB and roughly 3+ years of relevant work. Listed education preference: a bachelor's degree or equivalent.
- Role
- Analytics Engineer
- Function
- data engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Tokyo, Japan
- Experience
- 3+ years
- Education
- Bachelor's degree
- Department
- Business Intelligence
- Posted
- Jan 8, 2026
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.
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Job description
from Amazon careersThe 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.
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
This is an excerpt. Read the full job description on Amazon careers →