Business Intelligence Engineer, ARTS, ARTS

Amazon is hiring a Business Intelligence Engineer, ARTS, ARTS 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 AWS, Redshift and S3.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Business Intelligence Engineer leveraging big data, pipelines, and dashboards to support and optimize Amazon fulfillment center operations.

AWSRedshiftS3LambdaQuicksight

business-intelligencedata-analysisdata-pipelinedata-visualizationsql

[English]
Amazon's mission is to be "Earth's most comprehensive selection" and "Earth's most customer-centric company." The Customer Experience we provide rests on three pillars: selection, low prices, and convenience. As the hub of Amazon Japan's Operations business, we operate approximately 30 Fulfillment Centers (FCs) and continue to expand in order to deliver a better Customer Experience. FCs are logistics hubs equipped with cutting-edge systems and facilities, shipping over 1.4 billion items in 2023. FC logistics management is less about running a warehouse and more akin to the process management found in manufacturing.

APEX-RoW Technology Solutions (ARTS), together with the FC Central team, is now seeking a customer-focused Business Intelligence Engineer to ambitiously support FC operations through technology. This position contributes to the Operations division's ongoing efforts to reduce costs, improve delivery speed, and expand selection for customers, by efficiently and effectively leveraging the Big Data gathered from across the entire Amazon Fulfillment Network throughout Japan. By applying the latest methods—such as data analysis, data pipeline construction, and data visualization—to operational challenges, this role drives standardization, automation, and optimization.

What makes this position appealing

Work moves at a very fast pace, with many changes every day. As the business expands rapidly, this is an environment where you can proactively take on new challenges and grow alongside the growth of the business. From a data management perspective, the environment offers the following:

- In a data-driven organization, you will learn methods for effectively leveraging big data for the business over the long term
- You will drive projects together with engineering team members from diverse backgrounds and skill sets, as well as business-side specialists
- You can be involved in every stage of designing and building KPIs, BI dashboards, data pipelines, and more, and drive them forward with a high degree of autonomy
- You can grow as a BIE capable of development based on AWS standards (Redshift, S3, Lambda, QuickSight, etc.)

Who we're looking for

- Someone who consistently brings flexibility and a sense of speed, and who proactively takes on problem-solving and action to make things better for both customers and Amazon
- Someone who can discern the essence of an issue, identify the root cause of a problem, and devise and execute fundamental solutions
- Someone who can drive improvements while collaborating with internal customer departments and stakeholders

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.

[Japanese]
アマゾンは“地球上でもっとも豊富な品揃え”と“地球上でもっともお客様を大切にする企業であること”をミッションとしています。私達の提供するCustomer Experience（顧客満足度）は、品揃え、低価格、および利便性の三つの柱があります。アマゾンジャパンはオペレーション（運営・推進）事業の拠点として、約30のフルフィルメントセンター（Fulfillment Center, FC）を持ち、よりよいCustomer Experienceを提供するために拡大を続けています。FCは最先端のシステム、設備が導入された物流拠点で、2023年には14億個を超える商材を出荷しています。FCの物流管理業務は、物流倉庫の管理というよりは製造業に近い工程管理となっています。

この度、APEX-RoW Technology Solutions (ARTS)は、FC Network Planning チームと共に、FCのオペレーションを、テクノロジーで意欲的に支える、顧客志向のBusiness Intelligence Engineerを募集します。本ポジションは、日本全国のAmazon Fulfillment Network全体から取得するBig Dataを効率的に有効活用して、オペレーション部門が継続的にお客様のために、コスト削減、配送スピードの向上、セレクションの拡大をしていくことに貢献します。オペレーションの課題にデータ分析、データパイプライン構築、データ可視化などの最新の手法を提供することで、標準化、自動化、最適化を推進します。

本ポジションの魅力
非常に速いスピードで業務が展開され、日々多くの変化があります。事業が急速に拡大していく中、新しいことに積極的にチャレンジすることが可能な環境であり、ビジネスの成長と共に自分自身も成長することができます。また、データマネジメントの観点では以下のような環境です。

- データドリブンな組織で、ビッグデータを長期に渡ってビジネスに有効に活用する手法を学びます
- 多様なバックグラウンド・スキルを持つエンジニアのメンバー、ビジネス側のスペシャリスト達と共にプロジェクトを推進します
- KPI、BIダッシュボード、データパイプライン等の設計と構築において全工程で関与することができ、裁量を持って推進いただけます
- AWS（Redshift、S3、Lambda、QuickSight等）のスタンダードに基づいた開発ができるBIEとして成長できます

活躍していただける方
- フレキシビリティとスピード感を常に持ち、お客様とAmazonがより良くなるために主体的に課題解決やアクションに取り組める方
- 課題の本質を見極め、問題の根本原因を特定し、本質的な対策を考え、実行することができる方
- 社内の顧客にあたる部門、ステークホルダーと協力しながら、改善を進めていくことができる方

Amazonでは、最新のAI Tool, 生成AIを日々の業務の中に積極的に取り入れています。
AI Toolは私たちの意思決定のスピードを加速させ、私たちを本当に重要な「判断」と「議論」に集中させることを可能にしています。Amazon では学習を継続する文化が根付いているため、ご自身のペースでAIに関する知識を深めることができるリソースが用意されています。

Key job responsibilities
[English]
- Support the resolution of FC (Fulfillment Center) operational challenges by proposing actionable initiatives through data analysis
- Build data pipelines and automate end-to-end processes
- Design and develop metrics, reports, and dashboards
- Communicate thoughtfully with stakeholders to uncover their essential needs and propose the ideal solution
- Provide customers with best practices for data handling within the organization, and build mechanisms that maximize the value of data

[Japanese]
- データ分析によりアクション可能な施策の提案を行いFCオペレーションの課題解決をサポートする
- データパイプラインを構築し一連のプロセスを自動化する
- メトリクス、レポート、ダッシュボードを設計・開発する
- ステークホルダーと丁寧なコミュニケーションを行い、本質的なニーズを明らかにし、あるべき姿を提案できる
- 社内におけるデータハンドリングのベストプラクティスを顧客に提供し、データを最大限に活用できるメカニズムを構築する

A day in the life
[English]
A typical day's workflow is as follows:

- Attend the daily stand-up meeting and provide status updates
- Meet with internal stakeholders to confirm their needs
- Compile specifications and create design documents
- Develop BI analyses/solutions
- Learn about new BI technologies

[Japanese]
平均的な一日の業務の流れは以下の通りです。
- 毎日のスタンドアップミーティングに出席し、ステータスのアップデートを行う
- 社内のステークホルダーとミーティングをしてニーズを確認する
- 仕様をまとめてデザインドキュメントを作成する
- BI分析/ソリューションを開発する
- 新しいBIテクノロジーについて学ぶ

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 Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL (Structured Query Language) to pull data from a database or data warehouse
- Experience using Python scripting to process data for modeling
- Experience in English-language communication skills, both written and verbal

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
- 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 Intelligence Engineer, ARTS, ARTS at Amazon rates 10 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, ARTS, ARTS 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 September 7, 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 AnalysisData PipelineData VisualizationSQLAWSRedshiftS3

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 analysis was part of your work. What did you do?
Tell me about a project where data pipeline was part of your work. What did you do?
Tell me about a project where data visualization was part of your work. What did you do?
Tell me about a project where sql was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Business Intelligence, Data Analysis, Data Pipeline, Data Visualization, 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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