Business Intelligence Manager, Cross Border Science and Analytics
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.
Generative AI jobs · LLMs jobs · MySQL jobs · Redshift 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 SQL? 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 Manager, Cross Border Science and Analytics at Amazon interview free →We are looking for an L6 Business Intelligence Engineer (BIE) Manager to lead a team of BIEs supporting Cross Border Science at Amazon. This role sits at the intersection of data engineering, analytics, Basic qualifications: - 7+ years of business intelligence and analytics experience - 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience in SQL Server/MySQL, or experience that includes strong analytical skills, attention to detail, and effective communication abilities and experience in Redshift - Experience including, building and maintaining data flows and pipelines - Knowledge of product experimentation (A/B testing) Preferred: - Experience leveraging LLMs and GenAI tools for analytics workflows — prompt-based data exploration, automated insight generation, natural language to SQL, or AI-assisted reporting - Experience building semantic layers or self-service analytics platforms that democratize data access across technical and non-technical consumers - Familiarity with AI-assisted data quality and anomaly detection — automated monitoring of data freshness, drift, and pipeline health using ML-based alerting 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 2026-07-06. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.