Business Intelligence Engineer II, Middle Mile Planning & Optimization
Amazon.com Services LLC
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This role on the market
701 open intelligence roles across 186 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 (28%), AWS (19%), Tableau (18%), Data modelling (15%), Redshift (13%), ETL (12%) — counted across their open postings here.
Business Intelligence Engineer jobs in the United States · AWS jobs · Data modelling jobs · Data warehousing jobs · ETL jobs
Amazon.com Services LLC has 4,316 open roles listed here.
- Delivery Station Customer Service Associate
- Delivery Station Customer Service Associate, DSL
- Senior Business Intelligence Engineer, North America Supply Chain Execution Strategy
- Mechatronics & Robotics Tech
- Automation Engineer 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.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 Redshift? Tell me one thing you learned the hard way.
- Tell me about a hard bug you tracked down. How did you find the cause?
- 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?
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Practise the Business Intelligence Engineer II, Middle Mile Planning & Optimization at Amazon.com Services LLC interview free →Do you want to lead the journey of building the next-gen global transportation network using intelligent routing algorithms & systems that power the delivery of packages? Are you up for this challenge? Basic qualifications: - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using Python scripting to process data for modeling - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience developing, deploying and managing AI products at scale Preferred: - Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred) - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership 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, MN, Minneapolis - 99,500.00 - 160,000.00 USD annually USA, TN, Nashville - 94,600.00 - 160,000.00 USD annually USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually
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Listed on amazon · posted 2026-08-03. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon.com Services LLC, not by us.