Principal Business Intelligence Engineer, Amazon Customer Service
Amazon.com Services LLC
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Skills named in this job
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This role on the market
707 open intelligence roles across 191 companies are on ApplySarthi right now, most of them in Bengaluru (54), Hyderabad (33), Chennai (8).
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What intelligence roles keep asking for: Python (28%), SQL (27%), AWS (18%), Tableau (18%), Data modelling (15%), Redshift (13%), ETL (12%) — counted across their open postings here.
Business Intelligence Engineer jobs in the United States · Business Intelligence Engineer jobs in Seattle · Data modelling jobs · Data warehousing jobs · ETL jobs · Generative AI jobs
Amazon.com Services LLC has 4,316 open roles listed here.
- Delivery Station Customer Service Associate
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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, Tableau. Practise those questions before you sit with Amazon.com Services LLC.
Questions you are likely to be asked
- Why do you want to join Amazon.com Services LLC?
- What is your experience with ETL? Tell me one thing you learned the hard way.
- How do you handle a problem you do not know the answer to?
- How do you decide which ticket to work on first?
- Tell me about feedback from customers that you passed on to the product team.
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Practise the Principal Business Intelligence Engineer, Amazon Customer Service at Amazon.com Services LLC interview free →Customer Experience Products (CXP) is the technology organization behind Amazon's customer service, building and managing the self service tooling, chatbot and voicebot experiences, and quick resolution Basic qualifications: - 10+ years of business intelligence and analytics experience - Experience in building analytic or scientific data products or solutions - Experience building measures and metrics, and developing reporting solutions - Experience coding in scripting languages such as Python, R, Matlab, or STATA - Experience in Redshift, or experience in Hive/Spark/Hbase/Yarn and experience in any Bigdata architecture - Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field Preferred: - Master's degree in an advanced technical degree field - 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience - Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding - Experience building cross-functional partnerships and influencing stakeholders across the organization to act without having a direct reporting relationship - Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders - Experience with customer journey analytics or customer experience domains 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, WA, Seattle - 155,100.00 - 209,800.00 USD annually
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Listed on amazon · posted 2026-09-15. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon.com Services LLC, not by us.