Business Intelligence Engineer, Advertising Finance
Amazon
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This role on the market
789 open intelligence roles across 187 companies are on ApplySarthi right now, most of them in Bengaluru (47), Hyderabad (33), Chennai (8).
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What intelligence roles keep asking for: Python (38%), SQL (31%), AWS (21%), Stakeholder management (18%), Machine learning (18%), Tableau (16%), Product management (14%), LLMs (13%) — counted across their open postings 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, Stakeholder management. 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 SQL? Tell me one thing you learned the hard way.
- Walk me through a system you built. How was it designed, and what would you change now?
- Tell me about a hard bug you tracked down. How did you find the cause?
- How do you decide what to test, and what does good code review look like to you?
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Practise the Business Intelligence Engineer, Advertising Finance at Amazon interview free →Amazon seeks a Business Intelligence Engineer with strong technical, analytical, and business intelligence skill sets and experience to be a key partner for Amazon's Advertising business focusing on Amazon.com Basic qualifications: - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data modeling, warehousing and building ETL pipelines - Experience writing complex SQL queries - 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 - Experience with data visualization using Tableau, Quicksight, or similar tools - Knowledge of SQL and data warehousing concepts 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 - Experience in understanding and translating ambiguous and complex business problems into data solutions and presenting findings to the leadership 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, NY, New York - 109,500.00 - 185,000.00 USD annually USA, WA, SEATTLE - 99,500.00 - 160,000.00 USD annually
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Listed on amazon · posted 2026-10-30. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.