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Business Intelligence Engineer II

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Full-time

Japanese (N1)

Visa likely

Data Eng

Business Intelligence Engineer for Japan Central Ops, analyzing large-scale datasets with data mining, ETL and databases, and communicating results to senior leadership.

About this role

This position is a Business Intelligence Engineer II role for Japan Central Ops in Tokyo. The stated work involves data mining, ETL, and using databases in a business environment with large-scale, complex datasets. The role also requires managing, analyzing, and communicating results to senior leadership.

Applicants must have a master’s degree or above in business intelligence, finance, engineering, statistics, computer science, mathematics, or an equivalent quantitative field. Experience working as a Business Intelligence Engineer in a technology company is required.

The technical and analytical areas named in the posting include business intelligence, data mining, ETL, database use, quantitative analysis, and communicating analytical results. The identified operational context is Japan Central Ops; no further team structure or product details are provided.

Fluency in Japanese is required for speaking, writing, and reading. The source does not state a salary, employment type, work schedule, remote arrangement, contract duration, start date, benefits, or visa sponsorship.

Job details

Location
Tokyo
Employment
Full-time
Japanese
N1
Visa sponsorship
Visa Sponsor
Posted
2026-08-05
Category
Software & IT

About Amazon

Amazon is a global e-commerce and cloud computing giant that operates Amazon Japan and AWS Japan, hiring software engineers at scale in Tokyo.

All Amazon jobs & company profile →

Company details

Size
Enterprise
Founded
1994
HQ
Seattle, USA
Employees
10,000+
Industry
E-commerce · Cloud Computing
Funding
Publicly traded
Revenue
$574.8B (FY2023)
Profit
$30.4B (FY2023)
Website
amazon.com

AI-generated overview — may be incomplete or wrong, so don't rely on it fully.

This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.