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Business Intelligence Engineer, JP OPS STAR

Amazon Japan G.K.

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709 open intelligence roles across 191 companies are on ApplySarthi right now, most of them in Bengaluru (53), Hyderabad (33), Chennai (8).

What intelligence roles keep asking for: Python (28%), SQL (28%), AWS (19%), Tableau (18%), Data modelling (15%), Redshift (13%), ETL (12%) — counted across their open postings here.

AWS jobs · Data modelling jobs · Data warehousing jobs · ETL jobs

Amazon Japan G.K. has 582 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for intelligence roles keep coming back to Python, SQL, AWS, Tableau. Practise those questions before you sit with Amazon Japan G.K..

Questions you are likely to be asked

  1. Why do you want to join Amazon Japan G.K.?
  2. What is your experience with ETL? Tell me one thing you learned the hard way.
  3. Describe a time a deadline forced a trade-off in quality. What did you choose and why?
  4. How would you design an API for a feature you have worked on?
  5. What do you do when a production issue happens on your code?

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Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast?Have you wondered where it came from and how much it cost Amazon to deliver it 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 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 - Redshift、Oracle、NoSQLなどを使用したデータの分析・解釈の経験3年以上 - Tableau Desktop、QuickSight、またはその他の関連するデータ可視化ソフトウェアの使用経験2年以上 - 経営学、ファイナンス、経済学、コンピュータサイエンス、データサイエンス、工学、またはその他の関連分野における学士号以上、もしくはAmazon RME(BB/3P)のフルタイム正社員としての経験2年以上 - Tableau、QuickSight、または類似ツールを使用したデータ可視化の経験 - データモデリング、データウェアハウジング、およびETLパイプラインの構築経験 - SQL(構造化問い合わせ言語)を使用したデータベースまたはデータウェアハウスからのデータ抽出経験 - Pythonスクリプトを使用したモデリング用データ処理の経験 Preferred: - 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 - BI、ファイナンス、工学、統計学、コンピュータサイエンス、数学、または同等の定量分野における修士号以上 - Microsoft Excelの上級レベルの知識(ピボットテーブル、マクロ、INDEX/MATCH、VLOOKUP、VBA、データリンクなどを含む) - AWSソリューション(EC2、DynamoDB、S3、Redshiftなど)の使用経験 - データマイニング、ETLなどの経験、およびビジネス環境における大規模かつ複雑なデータセットを扱うデータベースの使用経験 - ビジネスパフォーマンスのより深い理解を可能にする新しいメトリクスの開発および提案の経験 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.

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Listed on amazon · posted 2026-05-20. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Japan G.K., not by us.