BIE II, ShipTech Analytics
Amazon
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This role on the market
1,833 open analytics roles across 364 companies are on ApplySarthi right now, most of them in Bengaluru (163), Hyderabad (98), Delhi NCR (62).
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What analytics roles keep asking for: SQL (52%), Python (43%), Tableau (24%), Stakeholder management (22%), Excel (21%), Power BI (19%), Data modelling (17%), AWS (16%) — counted across their open postings here.
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Amazon has 16,718 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 analytics roles keep coming back to SQL, Python, Tableau, 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 Data warehousing? Tell me one thing you learned the hard way.
- 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?
- How do you check that your numbers are right before you share them?
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Practise the BIE II, ShipTech Analytics at Amazon interview free →Do you want to be in the forefront of engineering big data analytical solutions that takes Amazon's global transportation models to the next generation? Do you have a solid analytical thinking, metrics Basic qualifications: - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience using SQL (Structured Query Language) to pull data from a database or data warehouse - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business Preferred: - Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field - 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 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 2026-10-07. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.