Analytics Manager, Product BI
Amazon Development Center U.S., Inc.
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This role on the market
1,486 open analytics roles across 297 companies are on ApplySarthi right now, most of them in Bengaluru (127), Hyderabad (87), Delhi NCR (53).
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What analytics roles keep asking for: SQL (35%), Python (27%), Tableau (18%) — counted across their open postings here.
AWS jobs · Airflow jobs · ETL jobs · Java jobs
Amazon Development Center U.S., Inc. has 557 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. Practise those questions before you sit with Amazon Development Center U.S., Inc..
Questions you are likely to be asked
- Why do you want to join Amazon Development Center U.S., Inc.?
- What is your experience with ETL? 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 Analytics Manager, Product BI at Amazon Development Center U.S., Inc. interview free →We are seeking a talented Business Intelligence Engineer to join our EC2 + Networking Product BI team. You will own end-to-end analytics for one or more Compute service areas — building and monitoring Basic qualifications: - Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field - 3+ years of experience in business intelligence, data engineering, or analytics engineering - Proficiency in SQL with experience writing complex queries against large-scale data warehouses (Redshift, Spark, or equivalent) - Experience with at least one programming language (Python, R, or Java) for data manipulation and analysis - Experience building and maintaining ETL/ELT data pipelines - Experience designing and publishing BI dashboards (QuickSight, Tableau, or equivalent) Preferred: - Master's degree in a quantitative field - Experience with AI/ML technologies, including large language models (LLMs) and building automation workflows - Experience with AWS services (Redshift, S3, Lambda, Glue, SageMaker, Bedrock) - Experience building self-serve analytics platforms or data products - Strong data storytelling skills — ability to present complex analyses to senior leadership - Experience working with Product Management teams in a cloud computing or SaaS environment - Familiarity with orchestration frameworks (Airflow, Step Functions, or similar workflow engines) 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 - 99,500.00 - 160,000.00 USD annually
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Listed on amazon · posted 2026-07-22. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Development Center U.S., Inc., not by us.