Business Intelligence Engineer, AWS Finance, Analytics and Science Team
Amazon
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This role on the market
684 open intelligence roles across 158 companies are on ApplySarthi right now, most of them in Bengaluru (48), Hyderabad (35), Chennai (9).
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What intelligence roles keep asking for: Python (30%), SQL (28%), AWS (18%), Tableau (16%), Data modelling (13%), Stakeholder management (13%), Redshift (12%) — counted across their open postings here.
Business Intelligence Engineer jobs in the United States · AWS jobs · Data modelling jobs · Excel jobs · Java jobs
Amazon has 14,388 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, 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 Tableau? Tell me one thing you learned the hard way.
- How do you check that your numbers are right before you share them?
- Walk me through a dashboard or report you built. Who used it, and for what?
- Explain a join or a window function you have used, and why you needed it.
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, AWS Finance, Analytics and Science Team at Amazon interview free →AWS is one of Amazon's largest and fastest-growing businesses, serving millions of customers in more than 190 countries. We use cloud computing to reshape the way global enterprises leverage information Basic qualifications: - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with scripting language (e.g., Python, Java, or R) Preferred: - Master's degree, or Advanced technical degree - Knowledge of data modeling and data pipeline design - Experience with statistical analysis, co-relation analysis 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 82,300.00 - 144,000.00 USD annually
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Listed on amazon · posted 2026-09-28. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.