Business Intelligence Engineer, Strategic Account Services
Amazon
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This role on the market
767 open intelligence roles across 179 companies are on ApplySarthi right now, most of them in Bengaluru (44), Hyderabad (41), Chennai (8).
- RFI Specialist/Business IntelligenceJobgether
- Risk Intelligence ManagerSignifyd
- Real Estate Data & Intelligence EngineerBuild
- Business Intelligence & AI Consultant als Werkstudent (m/w/d)twomynds
- Senior Consultant – Strategic Market Intelligence (m/w/d)real PACE GmbH
What intelligence roles keep asking for: Python (37%), SQL (31%), AWS (23%), Machine learning (17%), Tableau (17%), Stakeholder management (15%), Data modelling (14%), Product management (14%) — counted across their open postings here.
AWS jobs · Data modelling jobs · Data warehousing jobs · ETL jobs
Amazon has 16,374 open roles listed here.
- VAS Specialist, Value Added Servicesbengaluru
- ML Data Associate, AGIDS-IVA, AGIDS-IVAchennai
- ML Data Associate, AGIDS-IVA, AGIDS-IVAchennai
- Senior BMS Specialist, Global BMS Technical Serviceshyderabad
- Team Lead, Quick Commercebengaluru
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, Machine learning. 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 AWS? Tell me one thing you learned the hard way.
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
- How would you design an API for a feature you have worked on?
- What do you do when a production issue happens on your code?
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, Strategic Account Services at Amazon interview free →What is the Amazon Marketplace?Amazon is the largest marketplace on earth. Millions of customers shop in Amazon’s marketplaces globally. Every day, customers browse, purchase, and review products sold Basic qualifications: - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Bachelor's degree in sciences, engineering, finance or equivalent Preferred: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in Statistical Analysis packages such as R, SAS and Matlab Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 2026-10-20. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.