Likeremote

Subscribe to the latest remote jobs:

  • Likeremote jobs on https://LinkedIn.com/
  • Likeremote jobs on https://telegram.org/
  • Likeremote jobs on Reddit.com
Amazon logo

Business Intelligence Engineer, ARTS

Amazon
  • 🇯🇵 Japan
  • On-site
  • 3 weeks ago
  • Apex
  • Data Visualization
  • AWS
  • Redshift
  • AI
  • Machine Learning
  • Oracle
  • NoSQL
  • Tableau
  • Python
  • Java
  • Data Modeling
Not scoredNo CV on file. Upload one and this job gets a score out of 100.Upload CV

[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]
アマゟンは“地球䞊でもっずも豊富な品揃え”ず“地球䞊でもっずもお客様を倧切にする䌁業であるこず”をミッションずしおいたす。私達の提䟛するCustomer Experience顧客満足床は、品揃え、䜎䟡栌、および利䟿性の䞉぀の柱がありたす。アマゟンゞャパンはオペレヌション運営・掚進事業の拠点ずしお、玄30のフルフィルメントセンタヌFulfillment Center, FCを持ち、よりよいCustomer Experienceを提䟛するために拡倧を続けおいたす。FCは最先端のシステム、蚭備が導入された物流拠点で、2023幎には14億個を超える商材を出荷しおいたす。FCの物流管理業務は、物流倉庫の管理ずいうよりは補造業に近い工皋管理ずなっおいたす。

この床、APEX-RoW Technology Solutions (ARTS)は、FC Network Planning チヌムず共に、FCのオペレヌションを、テクノロゞヌで意欲的に支える、顧客志向のBusiness Intelligence Engineerを募集したす。本ポゞションは、日本党囜のAmazon Fulfillment Network党䜓から取埗するBig Dataを効率的に有効掻甚しお、オペレヌション郚門が継続的にお客様のために、コスト削枛、配送スピヌドの向䞊、セレクションの拡倧をしおいくこずに貢献したす。オペレヌションの課題にデヌタ分析、デヌタパむプラむン構築、デヌタ可芖化などの最新の手法を提䟛するこずで、暙準化、自動化、最適化を掚進したす。

本ポゞションの魅力
非垞に速いスピヌドで業務が展開され、日々倚くの倉化がありたす。事業が急速に拡倧しおいく䞭、新しいこずに積極的にチャレンゞするこずが可胜な環境であり、ビゞネスの成長ず共に自分自身も成長するこずができたす。たた、デヌタマネゞメントの芳点では以䞋のような環境です。

- デヌタドリブンな組織で、ビッグデヌタを長期に枡っおビゞネスに有効に掻甚する手法を孊びたす
- 倚様なバックグラりンド・スキルを持぀゚ンゞニアのメンバヌ、ビゞネス偎のスペシャリスト達ず共にプロゞェクトを掚進したす
- KPI、BIダッシュボヌド、デヌタパむプラむン等の蚭蚈ず構築においお党工皋で関䞎するこずができ、裁量を持っお掚進いただけたす
- AWSRedshift、S3、Lambda、QuickSight等のスタンダヌドに基づいた開発ができるBIEずしお成長できたす

掻躍しおいただける方
- フレキシビリティずスピヌド感を垞に持ち、お客様ずAmazonがより良くなるために䞻䜓的に課題解決やアクションに取り組める方
- 課題の本質を芋極め、問題の根本原因を特定し、本質的な察策を考え、実行するこずができる方
- 瀟内の顧客にあたる郚門、ステヌクホルダヌず協力しながら、改善を進めおいくこずができる方

Amazonでは、最新のAI Tool, 生成AIを日々の業務の䞭に積極的に取り入れおいたす。
AI Toolは私たちの意思決定のスピヌドを加速させ、私たちを本圓に重芁な「刀断」ず「議論」に集䞭させるこずを可胜にしおいたす。Amazon では孊習を継続する文化が根付いおいるため、ご自身のペヌスでAIに関する知識を深めるこずができるリ゜ヌスが甚意されおいたす。


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]
- デヌタ分析によりアクション可胜な斜策の提案を行いFCオペレヌションの課題解決をサポヌトする
- デヌタパむプラむンを構築し䞀連のプロセスを自動化する
- メトリクス、レポヌト、ダッシュボヌドを蚭蚈・開発する
- ステヌクホルダヌず䞁寧なコミュニケヌションを行い、本質的なニヌズを明らかにし、あるべき姿を提案できる
- 瀟内におけるデヌタハンドリングのベストプラクティスを顧客に提䟛し、デヌタを最倧限に掻甚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]
平均的な䞀日の業務の流れは以䞋の通りです。
- 毎日のスタンドアップミヌティングに出垭し、ステヌタスのアップデヌトを行う
- 瀟内のステヌクホルダヌずミヌティングをしおニヌズを確認する
- 仕様をたずめおデザむンドキュメントを䜜成する
- BI分析/゜リュヌションを開発する
- 新しいBIテクノロゞヌに぀いお孊ぶ

Basic qualifications

- 1+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with scripting language (e.g., Python, Java, or R)

Preferred qualifications

- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis

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 visithttps://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.

Business Intelligence Engineer, ARTS · Amazon

Auto apply with Likeremote