Business Intelligence Engineer, Amazon
Amazon · Tokyo, Japan · Business Intelligence
mid
data engineering
Analytics Engineer
ic
Bachelor's
· Posted May 15, 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, Java, R, SQL. 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
- Education
- Bachelor's degree
- Department
- Business Intelligence
- Posted
- May 15, 2026
AI Summary
Business Intelligence Engineer supporting Amazon Search's capacity planning and scaling. Analyzes performance metrics, manages resource budgeting, and develops automation tools. Requires bachelor's degree, SQL expertise, scripting proficiency, 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.
- 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)
- 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 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 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 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.