Business Intelligence Engineer, JWO
Amazon
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This role on the market
916 open intelligence roles across 197 companies are on ApplySarthi right now, most of them in Bengaluru (46), Hyderabad (34), Chennai (7).
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What intelligence roles keep asking for: Python (35%), SQL (30%), AWS (20%), Machine learning (16%), Stakeholder management (16%), Tableau (16%) — counted across their open postings here.
AWS jobs · Data modelling jobs · Data warehousing jobs · ETL jobs
Amazon has 17,064 open roles listed here.
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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.
- 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?
- Walk me through a system you built. How was it designed, and what would you change now?
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, JWO at Amazon interview free →As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide Basic qualifications: - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. 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 in Statistical Analysis packages such as R, SAS and Matlab - Bachelor's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field Preferred: - 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 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 2026-06-29. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.