Business Intel Engineer III, Japan Central Ops

Amazon is hiring a Business Intel Engineer III, Japan Central Ops in Tokyo, Japan. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include Python, SQL and AWS.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Design and build AI-powered analytics tools and scalable BI architecture for Amazon's last mile operations in Japan.

PythonSQLAWS

data-modellinganalyticsautomationmachine-learningbusiness-intelligence

When you order a package on Amazon, Last Mile Operations is in charge of the final delivery to your home. Central Operations' mandate is to centralize all tasks that can be centralized across Japan's 200+ last mile node network. Thanks to CO, tasks can be standardized, optimized and automated, resulting in better delivery experience for customers, at a lower cost. Strategically, the team allows JP Ops to grow by double digits every year, without increasing complexity and cost at the same rate.

We are looking for a Senior Business Intelligence Engineer to drive the use of AI and automation in analytics, powering executive-level decision making for Central Operations. In this role you will define and implement scalable data solutions, diving deep into operational metrics across capacity planning, forecasting, and real-time delivery execution. You will apply both business and technical acumen in a fast-paced, ambiguous, and innovative environment where your work directly impacts millions of daily customer deliveries.

At Amazon, you'll work alongside the latest AI and GenAI tools that are increasingly woven into how teams operate: from AI-powered capabilities that accelerate decision-making, to Generative AI that helps you focus on work that truly matters. You'll have opportunities and resources to develop AI fluency at your own pace, with continuous learning built into the culture.

Key job responsibilities
Design and build AI-powered analytics tools that derive actionable insights from large-scale last mile operational data spanning 200+ delivery stations, capacity management systems, and forecasting platforms
Own the design and development of the team's BI architecture: automated pipelines, self-service dashboards, and scalable data models that support intraweek planning and real-time execution monitoring
Drive continuous improvement of analytical processes by automating manual reporting, scaling self-service access, and simplifying insight delivery for operational stakeholders across multiple functions
Architect data solutions for new business initiatives, ensuring analytics foundations are reusable and scalable from day one
Define metrics frameworks, anomaly detection mechanisms, and feedback loops that surface operational risks and opportunities to leadership through business reviews and real-time alerting
Recognize and adopt best practices in BI engineering: data integrity, data modelling, test design, validation, documentation, and operational excellence
Mentor and develop junior engineers, conduct technical assessments, and influence BI best practices across partner teams in the organization

Basic qualifications

- 8+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with AWS technologies
- Knowledge of data warehousing and data modeling
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience communicating results to senior leadership, or experience communicating complex information and solutions to senior stakeholders and influencing decisions
- Speak, write, and read fluently in English

Preferred qualifications

- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Experience working as a BIE in a technology company
- Master's degree in statistics, data science, or an equivalent quantitative field
- Speak, write, and read fluently in Japanese

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.

How we rate this

Business Intel Engineer III, Japan Central Ops at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Business Intel Engineer III, Japan Central Ops is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in JP, 13, Tokyo.
The job was posted on August 5, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data ModellingAnalyticsAutomationMachine learningBusiness IntelligencePythonSQLAWS

Questions you could be asked

Tell me about a project where data modelling was part of your work. What did you do?
Tell me about a project where analytics was part of your work. What did you do?
Tell me about a project where automation was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where business intelligence was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Data Modelling, Analytics, Automation, Machine learning, and Business Intelligence. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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