ApplySarthiBusiness Intelligence Engineer, Amazon Security Experiences, Analytics and Science Team
Amazon
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This role on the market
775 open intelligence roles across 177 companies are on ApplySarthi right now, most of them in Bengaluru (43), Hyderabad (35), Chennai (8).
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What intelligence roles keep asking for: Python (38%), SQL (30%), AWS (23%), Machine learning (18%), Tableau (16%), Stakeholder management (15%), Product management (14%), Data modelling (14%) — counted across their open postings here.
Data modelling jobs · Excel jobs · Power BI jobs · Redshift jobs
Amazon has 16,566 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 Excel? Tell me one thing you learned the hard way.
- Explain a join or a window function you have used, and why you needed it.
- How would you explain a surprising number to a manager who does not believe it?
- Tell me about an analysis that changed a decision. What did you find?
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Practise the Business Intelligence Engineer, Amazon Security Experiences, Analytics and Science Team at Amazon interview free →The Amazon Security Experiences (ASE) organization is the data intelligence backbone of Amazon Security. We build and operate the data platform that powers security insights, builder experience analytics, Basic qualifications: - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience in data querying or modeling with SQL, Excel - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - 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) Preferred: - Master's degree, or Advanced technical degree - Knowledge of data modeling and data pipeline design - Experience with statistical analysis, co-relation analysis - Experience in data querying or modeling with SQL, Excel 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 2026-10-22. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.