Business Intelligence Engineer, Central Operation, Sort Center
Amazon
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This role on the market
734 open intelligence roles across 149 companies are on ApplySarthi right now, most of them in Bengaluru (53), Hyderabad (46), Chennai (18).
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What intelligence roles keep asking for: Python (27%), SQL (27%), AWS (18%), Tableau (17%), Stakeholder management (15%), Data modelling (15%), Redshift (12%) — counted across their open postings here.
Power BI jobs · Python jobs · Redshift jobs · SQL jobs
Amazon has 14,204 open roles listed here.
- Controls Technician, Controls Deployment & Service Indiahyderabad
- Applied Scientist II, RBS Techbengaluru
- Data Scientist II, EU Prime and Marketing Analytics & Science (PRIMAS)bengaluru
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- Investigation Specialist II, Flex Investigations and Offboardinghyderabad
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.
Questions you are likely to be asked
- Why do you want to join Amazon?
- What is your experience with Power BI? Tell me one thing you learned the hard way.
- Tell me about a hard bug you tracked down. How did you find the cause?
- How do you decide what to test, and what does good code review look like to you?
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Business Intelligence Engineer, Central Operation, Sort Center at Amazon interview free →システム開発や定量的な分析によって、より高品質で低コストなAmazonの物流網を構築しませんか?Amazonの輸送ネットワークは、全国の大規模倉庫と配送拠点(Last Mile)を結んでいます。その中継拠点であるSort Centerでは、配送スピードを保ちながら荷物を効率的に仕分けています。物量が増え続けるなか、データに基づく迅速な判断がこれまで以上に重要になっています。Business Intelligence Basic qualifications: - SQLを用いたデータ抽出・集計・分析、およびデータモデリングの実務経験(目安: 3年以上)。複数のデータソースを統合する中間テーブル・データマートの設計経験 - Python等のスクリプト言語によるデータ変換・統計分析・業務自動化の実務経験 - BIツール(QuickSight、Tableau、Power BI等)またはWebベースのDashboard構築の実務経験 - クラウド上のデータ基盤(S3、Athena、Redshift等)を用いた分析環境の使用経験 - 基本的な統計的手法(回帰分析等)をビジネス課題に適用し、その前提と限界を説明できること - 非エンジニアを含むステークホルダーと要件をすり合わせ、曖昧な業務課題を具体的な指標・システム要件に落とし込んだ経験 - 日本語: ビジネスレベル(現場オペレーション・3PLとの折衝に必要) Preferred: - アプリ・Dashboard等の1からの開発経験 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 2026-09-09. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.