Business Intelligence Engineer II, ASP Insights
Amazon Web Services
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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).
- ML Data Associate-II, Artificial General IntelligenceAmazon · hyderabad
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.
Business Intelligence Engineer jobs in the United States · AWS jobs · LLMs jobs · Python jobs · RAG jobs
Amazon Web Services has 2,164 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 Web Services.
Questions you are likely to be asked
- Why do you want to join Amazon Web Services?
- What is your experience with SQL? Tell me one thing you learned the hard way.
- 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?
- How would you design an API for a feature you have worked on?
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Practise the Business Intelligence Engineer II, ASP Insights at Amazon Web Services interview free →AWS is seeking a Senior Business Intelligence Engineer III to lead analytics strategy for the ASP organization, focused on Partner insights and analytics. This team operates at the intersection of data Basic qualifications: - 5+ years of SQL experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience architecting and owning end-to-end data platforms serving multiple downstream consumers - Experience with cloud-based data infrastructure (Redshift, Athena, Spark, or equivalent) including performance optimization and cost management Preferred: - Experience building or integrating AI/ML capabilities into data platforms or analytics products (LLMs, RAG, agent frameworks, knowledge graphs, or similar) - Experience designing governance or quality frameworks for data consumed by automated systems - Experience defining tooling strategy for a team — evaluating options, building shared infrastructure, and establishing reusable patterns - Track record of building automated analytics systems (autonomous reporting, intelligent alerting, self-service interfaces) - Experience mentoring engineers and raising team capability across data engineering and AI/ML practices - Strong systems thinking — ability to see upstream/downstream impact across a complex data ecosystem - Experience in GTM analytics, partner ecosystem data, or sales operations at scale 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, CO, Denver - 99,500.00 - 160,000.00 USD annually USA, WA, Seattle - 99,500.00 - 160,000.00 USD annually
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Listed on amazon · posted 2026-09-08. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Web Services, not by us.