Business Intelligence Engineer, Amazon
Amazon
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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).
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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.
AWS jobs · Data modelling jobs · Data warehousing jobs · ETL jobs
Amazon has 14,204 open roles listed here.
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- Applied Scientist II, RBS Techbengaluru
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- Investigation Specialist II, Flex Investigations and Offboardinghyderabad
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.
Questions you are likely to be asked
- Why do you want to join Amazon?
- What is your experience with Data modelling? Tell me one thing you learned the hard way.
- 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?
- What do you do when a production issue happens on your code?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Business Intelligence Engineer, Amazon at Amazon interview free →Amazon Selection and Catalog Systems (ASCS) builds the systems that host and run the comprehensive e-commerce product catalog. We power the online shopping experience for customers worldwide, enabling Basic qualifications: - 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business - Experience writing complex SQL queries - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - Experience applying basic statistical methods (e.g. regression, t-test, Chi-squared) as well as exploratory, deterministic, and probabilistic analysis techniques to solve complex business problems. - Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports. - Track record of generating key business insights and collaborating with stakeholders. - Strong verbal and written communication skills, with the ability to effectively present data insights to both technical and non-technical audiences, including senior management 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 - Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - Proven track record of conducting large-scale, complex data analysis to support business decision-making in a data warehouse environment - Demonstrated ability to translate business needs into data-driven solutions and vice versa - Relentless curiosity and drive to explore emerging trends and technologies in the field - Knowledge of data modeling and data pipeline design - Experience with statistical analysis, co-relation analysis, as well as exploratory, deterministic, and probabilistic analysis techniques - Experience in designing and implementing custom reporting systems using automation tools - Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability) 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 2026-09-25. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.