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

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

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
Tools and skills the posting cites include Python, SQL and Tableau.
Level classifies it as a mid-level role.
Level lists 21,000+ other open roles at Amazon.

AI in this role

Develop business intelligence solutions, data pipelines, and analytical models for supply chain and assortment optimization.

pythonsqltableauquicksightredshiftoraclenosqlrsasmatlabexcelaws+3

business-intelligencedata-modelingetlstatistical-analysissupply-chain-optimization

SCOT's International 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 scaling automated actions based on underlying economics and customer demand signals, building ground-up solutions that will provide executive insights to Retail category leaders on the top assortment opportunities with financial impact and drive international expansion for JP-first solutions

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.

Basic qualifications

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
- Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field, or 2+ years of Amazon RME (BB/3P) Full Time Exempt experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience using SQL (Structured Query Language) to pull data from a database or data warehouse
- Experience using Python scripting to process data for modeling

Preferred qualifications

- Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.
- 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

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, Supply Chain Optimization Technologies - International (JP) , SCOT International - JP at Amazon rates 30 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. Read the description and count the AI tools, models and workflows it names.

Key facts

Business Intelligence Engineer, Supply Chain Optimization Technologies - International (JP) , SCOT International - JP 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 2, 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

Business IntelligenceData ModelingETLStatistical AnalysisSupply Chain OptimizationPythonSQLTableau

Questions you could be asked

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 etl was part of your work. What did you do?
Tell me about a project where statistical analysis was part of your work. What did you do?
Tell me about a project where supply chain optimization was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Business Intelligence, Data Modeling, ETL, Statistical Analysis, and Supply Chain Optimization. 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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