“Amazon Hiring 2025: Business Intelligence Engineer I – Join GO-AI Team Driving Data & AI Innovation in Global Operations”
Amazon Careers 2025: Business Intelligence Engineer I – Global Operations (Artificial Intelligence)
Job Title: Business Intelligence Engineer I
Location: India (Multiple Locations)
Company: Amazon India Limited
Department: Global Operations – Artificial Intelligence (GO-AI)
About the Role
Amazon is seeking a highly analytical and detail-oriented Business Intelligence Engineer I (BIE I) to join its Global Operations – Artificial Intelligence (GO-AI) team. This is an opportunity to be part of one of Amazon’s fastest-growing, most technologically advanced operations groups. The GO-AI team complements vision-based AI systems by providing human support for complex tasks across automated fulfillment centers globally.
As a BIE I, you will work with large datasets to drive data-backed business decisions and build solutions that scale operational processes. The role offers a unique opportunity to impact high-priority machine vision projects like Nike IDS, Proteus, Sparrow, and more.
Key Responsibilities
Data Analytics & Reporting
- Build and maintain data pipelines and ETL processes using industry best practices.
- Develop and own BI solutions such as dashboards, reports, data models, and analyses to support business decisions.
- Use tools like Excel, Tableau, QuickSight, PowerBI to visualize key performance indicators (KPIs).
- Apply statistical methods such as t-tests, chi-squared tests, and regressions to interpret trends and patterns.
- Maintain high accuracy in all deliverables and ensure timely delivery of analytics assets.
Business Intelligence Development
- Design solutions that answer business questions with data.
- Demonstrate a clear understanding of data lineage—knowing where data originates, how it’s transformed, and how it’s consumed.
- Create stable, secure, and reusable data solutions for multiple operational teams.
Code & Automation
- Write and maintain production-ready, scalable code using Python, Java, or R.
- Automate manual workflows and standardize repeatable processes.
- Build backend support to improve speed, accuracy, and cost-efficiency of BI tools.
Cross-functional Collaboration
- Partner with global stakeholders to gather requirements and deliver BI tools aligned with business goals.
- Work with peer BIEs, operations teams, and program managers to troubleshoot, resolve issues, and optimize processes.
- Identify opportunities for operational efficiencies through data-driven decisions.
Quality Assurance & Documentation
- Ensure all code, queries, and reports are reviewed, tested, and documented.
- Keep documentation up to date to enable team-wide understanding and onboarding.
- Track metrics and performance indicators to assess and enhance data products.
About the GO-AI Team
The Global Operations – Artificial Intelligence (GO-AI) team handles exception management within Amazon’s Robotic Fulfillment Centers. GO-AI augments machine vision with human judgment to resolve issues requiring cognitive reasoning beyond automation. The team delivers at Amazon scale by integrating operations and central programs to support high-complexity projects in real time.
Programs managed by the GO-AI team include:
- Nike IDS – Intelligent Decision Support for robotics.
- Proteus – Autonomous mobility assistance.
- Sparrow – Machine vision integration for item sorting.
Basic Qualifications
- 2+ years of experience analyzing and interpreting large datasets using tools like Redshift, Oracle, or NoSQL systems.
- Experience building and maintaining ETL pipelines and automated reporting processes.
- Hands-on expertise with BI tools like Excel, Tableau, QuickSight, PowerBI, or MicroStrategy.
- Ability to apply basic statistical techniques such as t-tests, chi-squared analysis, and regressions.
- Proficient in one or more scripting/programming languages such as Python, Java, or R.
Preferred Qualifications
- Master’s degree or advanced technical qualification.
- Experience in statistical and correlation analysis.
- Proficiency in improving BI code quality and optimizing processes.
- Strong communication skills and the ability to explain complex analytics to non-technical teams.
Key Competencies & Skills
| Skill | Details |
|---|---|
| Data Engineering | ETL pipeline development, data cleaning, modeling |
| Business Intelligence Tools | Excel, Tableau, QuickSight, PowerBI, SQL |
| Programming Languages | Python, Java, or R |
| Statistical Analysis | Regression, hypothesis testing, co-relation analysis |
| Cross-functional Collaboration | Working with global tech, ops, and business teams |
| Communication | Ability to explain data to technical and non-technical stakeholders |
| Project Ownership | Ownership of BI tools and reporting mechanisms |
Work Culture at Amazon
Amazon offers a collaborative, inclusive, and innovation-driven workplace. The culture encourages ownership, problem-solving, and relentless customer obsession. Team members are empowered to experiment, fail fast, and think long-term.
The GO-AI team in particular thrives in a dynamic environment where data accuracy, real-time decision-making, and process automation are crucial.
Inclusivity & Accessibility
Amazon promotes an inclusive culture that values diversity in backgrounds and experiences. The company offers workplace accommodations during the recruitment, interview, and onboarding phases.
To learn more or request accommodation, visit the Amazon accommodations page.
Application Process FAQs
- What is the expected salary?
Salary depends on experience, skills, and interview performance. Please refer to Amazon India’s job portal for specific details. - Who can apply?
Candidates with 2–31 years of experience are eligible. Both male and female professionals are encouraged to apply. - Is remote work available?
This is a full-time, on-site role. It is not remote. - Is there an application fee?
No. Amazon never asks for deposits or payment to apply or join. - How to apply?
Visit amazon.jobs or use the Apna app to submit your application.
Why Join Amazon as a Business Intelligence Engineer I?
- Be part of cutting-edge AI and robotics initiatives.
- Contribute to data-driven strategies impacting global fulfillment operations.
- Build scalable BI solutions in a highly innovative environment.
- Collaborate with world-class engineers, program managers, and analysts.
- Access continuous learning, mentorship, and growth opportunities.
Apply Now