Business Intelligence Engineer, Marketing and Prime
Amazon Commercial Services Pty Ltd
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This role on the market
708 open intelligence roles across 191 companies are on ApplySarthi right now, most of them in Bengaluru (53), Hyderabad (33), Chennai (8).
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- Associate Director, Intelligence Project ManagementBursonglobalcareers
- Director of Engineering - Mission IntelligenceHarmattan Ai
- Graduate Customer Intelligence Executive - French SpeakingBlenheimchalcot
What intelligence roles keep asking for: Python (28%), SQL (28%), AWS (19%), Tableau (18%), Data modelling (15%), Redshift (13%), ETL (12%), Stakeholder management (12%) — counted across their open postings here.
AWS jobs · Data modelling jobs · Data warehousing jobs · ETL jobs
Amazon Commercial Services Pty Ltd has 90 open roles listed here.
- Supply Chain Manager, Inbound Vendor Excellence
- Process Assistant (Operations Supervisor), Reverse Logistics (ReLo)
- Strategic Account Manager, Strategic Account Services
- Operations Supervisor (Process Assistant), Inbound - Day Shift
- HR Program Manager
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 Commercial Services Pty Ltd.
Questions you are likely to be asked
- Why do you want to join Amazon Commercial Services Pty Ltd?
- What is your experience with ETL? 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, Marketing and Prime at Amazon Commercial Services Pty Ltd interview free →Join Amazon's Prime and Marketing team as a Business Intelligence Engineer (BIE) to revolutionise how we understand, measure and serve our customer base. You'll architect and build enterprise-level data Basic qualifications: - 3+ 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 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 Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: 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.
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Listed on amazon · posted 2026-07-23. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Commercial Services Pty Ltd, not by us.