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 AWS, DynamoDB, Redshift, Tableau. 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: Jun 24, 2026

AI Summary

Business Intelligence Engineer supporting Amazon Search's capacity planning and resource optimization. Scales distributed search systems by tracking performance metrics, managing hardware budgeting, and developing forecasting models. Requires bachelor's degree in quantitative field, forecasting/statistical analysis experience, and data visualization expertise.

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Job description

from Amazon careers

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.

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

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

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