Business Intelligence Engineer, JP Supply Chain Optimization Technologies (SCOT), SCOT JP AIM

Amazon is hiring a Business Intelligence Engineer, JP Supply Chain Optimization Technologies (SCOT), SCOT JP AIM in Tokyo, Japan. Level rates it ; you can apply on Level.

AI in this role

Business Intelligence Engineer driving assortment optimization and automated decision-making using data analytics and internal tools.

sqlawspythontableau

data-miningbusiness-intelligencedata-modelinganalytics

SCOT's Regional team in Japan is seeking an experience and motivated Business Intelligence Engineer who enjoys the challenge of diving into complex problems in the areas of assortment optimization and helping our senior executives make high judgement decisions involving profitability, customer experience, and scalable execution. This focus will be on curating selection decisions for desired business objectives (e.g. fast delivery speed, and special regional formats), unblocking local experimentation and scaling automated actions based on underlying economics and customer demand signals

The successful candidate will have strong quantitative data mining and modeling skills and be comfortable working on new and sometimes ambiguous problems from concept through to execution. They will have strong communication and leadership skills, will be able to collaborate with other teams (e.g. software development, economists, data engineering) and to present findings to senior audiences to drive business improvements. We expect this candidate to raise the bar on any of the following categories: Data Warehousing, Data Architecture, Performant Self Service Toolsets and Data analytics. Candidate might be willing to work with the others BIEs in order to solve organizational problems at scale and setting the grounds of a healthy data products offer while delivering what is required by business.

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

• Analyze and synthesize large data streams across multiple systems/inputs.
• Work with Product Managers to understand customer behaviors, spot system defects, and benchmark our ability to serve our customers, improving a wide range of internal products that impact selection decisions both nationally and regionally
• Develop business insights basis data extraction, data analytics, trend deduction & Pattern recognition.
• Present these business insights to senior management/executives.
• Create advanced dashboard to help a large group of teams to consume insights make changes to business process and track progress.
• Build analytical models that can help improve business outcomes at scale enhancing current system abilities.

About the team
Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, Amazon’s Supply Chain Optimization Technology (SCOT) organization is for you. At SCOT, we solve deep technical problems and build innovative solutions in a fast-paced environment working with smart & passionate team members. (Learn more about SCOT: http://bit.ly/amazon-scot)

Basic qualifications

- Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field, or 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 5+ years of performing statistical analysis experience
- 3+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with data modeling, warehousing and building ETL pipelines

Preferred qualifications

- Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.

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 Intelligence Engineer, JP Supply Chain Optimization Technologies (SCOT), SCOT JP AIM at Amazon rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● 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. Open the description and count.

Key facts

Business Intelligence Engineer, JP Supply Chain Optimization Technologies (SCOT), SCOT JP AIM is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in JP, 13, Tokyo.
The job was posted on October 14, 2026.
Seniority: mid.
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 MiningBusiness IntelligenceData ModelingAnalyticsSQLAWSPythonTableau

Questions you could be asked

Tell me about a project where data mining 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?
Tell me about a project where data modeling 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?
Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Mining, Business Intelligence, Data Modeling, Analytics, and SQL. 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.

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