Amazon Business Intelligence Engineer Jobs in Hyderabad | AOP
About the job
Amazon is hiring a Business Intelligence Engineer for its Analytics Operations and Programs (AOP) team in Hyderabad, Telangana. The role focuses on business intelligence, data engineering, statistical analysis and production monitoring of machine learning and operations research models used across Amazon’s operations network.
Candidates should have a bachelor’s degree or above in a relevant discipline, experience with SQL and Python, at least 2 years of data visualization experience, and 3+ years of automated reporting experience. The position involves working with Scientists, Data Engineers, Software Development Engineers, Product and Program teams to improve model performance, operational efficiency and business outcomes.
Job Details
- Company: Amazon
- Business Unit: ASSPL – Karnataka
- Role: Business Intelligence Engineer, AOP – ROW APEX
- Job ID: 10464524
- Location: Hyderabad, Telangana, India
- Employment Type: Not disclosed
- Experience: 3+ years in automated reporting and 2+ years with data visualization software
- Salary: Not disclosed
- Work Mode: Not specified
- Team: Analytics Operations and Programs (AOP)
What You’ll Do
- Work with Scientists to monitor, maintain and improve machine learning and operations research models running in production.
- Evaluate model performance using statistical analysis, experiments and business impact measurements.
- Build scalable and automated data pipelines to support decision-making and model development.
- Design, develop and maintain business intelligence solutions, performance metrics, reporting systems and monitoring frameworks.
- Conduct root-cause analysis and maintain data accuracy across analytical tools and models.
- Manage analytical projects from data collection and modeling through to insights and recommendations.
- Collaborate with Scientists, Data Engineers, Software Development Engineers, Product and Program teams.
- Identify opportunities to improve operational performance, model effectiveness and network efficiency.
- Develop analytical solutions that help reduce operational defects and improve business performance.
What You Need
- Bachelor’s degree or above in Business Administration, Finance, Economics, Computer Science, Data Science, Engineering or another related discipline.
- Alternatively, 2+ years of Amazon RME (BB/3P) Full Time Exempt experience, as specified in the listing.
- Experience using Python scripting to process data for modeling.
- Experience using SQL to retrieve data from databases or data warehouses.
- At least 2 years of experience with Tableau Desktop, Amazon QuickSight or other relevant data visualization software.
- Experience with forecasting and statistical analysis.
- Experience using statistical analysis packages such as R, SAS or MATLAB.
- Experience with data modeling, data warehousing and ETL pipeline development.
- At least 3 years of automated reporting development experience.
Preferred Profile
- Master’s degree or above in Business Intelligence, Finance, Engineering, Statistics, Computer Science, Mathematics or an equivalent quantitative discipline.
- Advanced Microsoft Excel skills, including pivot tables, macros, INDEX/MATCH, VLOOKUP, VBA and data links.
- Experience with AWS services such as EC2, DynamoDB, S3 and Redshift.
- Experience in data mining, ETL and working with large-scale, complex datasets in business environments.
- Ability to develop and present recommendations for new metrics that improve business performance visibility.
About the AOP Team
Amazon’s Analytics Operations and Programs team works to standardize business intelligence and analytics capabilities and reduce repetitive reporting and analytics workloads across operations. The team supports operations across India, Australia, Brazil, Mexico, Singapore, the UAE, Egypt and Saudi Arabia.
The team includes engineers, analysts and scientists who work on operational performance visibility, network efficiency and defect reduction.
How to Apply
- Review the educational qualifications and technical experience required for the role.
- Prepare a resume highlighting SQL, Python, statistical analysis, automated reporting, data modeling and BI development experience.
- Use Apply on Original Source ↗ at the top of this job page to open the Amazon Careers application page.
- Follow the application instructions and submit your details through Amazon’s recruitment portal.
Before You Apply
- Be prepared to discuss automated reporting solutions you have developed and maintained.
- Review SQL queries, Python data processing, ETL pipelines and data modeling concepts.
- Prepare examples of forecasting, statistical analysis and model performance evaluation.
- Be familiar with Tableau, QuickSight or another relevant visualization platform.
- Review the AWS services listed in the preferred qualifications if you have relevant experience.
Workplace Accommodation
Amazon provides information about workplace accommodations and adjustments during the recruitment and hiring process. Candidates requiring assistance can refer to the accommodation information available through Amazon Jobs.
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Job Details
About Amazon
Amazon is a global technology and e-commerce company operating across online retail, cloud computing, digital services and logistics. Its Analytics Operations and Programs teams support operational performance and efficiency through data, analytics and technology
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JobsInHyd is a job discovery platform and is not the employer or recruiter for this position. Job details are sourced from the original application source and may change. Please verify the latest information before applying.
JobsInHyd does not guarantee hiring outcomes.Amazon is hiring a Business Intelligence Engineer for its Analytics Operations and Programs (AOP) team in Hyderabad, Telangana. The role focuses on business intelligence, data engineering, statistical analysis and production monitoring of machine learning and operations research models used across Amazon’s operations network.
Candidates should have a bachelor’s degree or above in a relevant discipline, experience with SQL and Python, at least 2 years of data visualization experience, and 3+ years of automated reporting experience. The position involves working with Scientists, Data Engineers, Software Development Engineers, Product and Program teams to improve model performance, operational efficiency and business outcomes.
Job Details
- Company: Amazon
- Business Unit: ASSPL – Karnataka
- Role: Business Intelligence Engineer, AOP – ROW APEX
- Job ID: 10464524
- Location: Hyderabad, Telangana, India
- Employment Type: Not disclosed
- Experience: 3+ years in automated reporting and 2+ years with data visualization software
- Salary: Not disclosed
- Work Mode: Not specified
- Team: Analytics Operations and Programs (AOP)
What You’ll Do
- Work with Scientists to monitor, maintain and improve machine learning and operations research models running in production.
- Evaluate model performance using statistical analysis, experiments and business impact measurements.
- Build scalable and automated data pipelines to support decision-making and model development.
- Design, develop and maintain business intelligence solutions, performance metrics, reporting systems and monitoring frameworks.
- Conduct root-cause analysis and maintain data accuracy across analytical tools and models.
- Manage analytical projects from data collection and modeling through to insights and recommendations.
- Collaborate with Scientists, Data Engineers, Software Development Engineers, Product and Program teams.
- Identify opportunities to improve operational performance, model effectiveness and network efficiency.
- Develop analytical solutions that help reduce operational defects and improve business performance.
What You Need
- Bachelor’s degree or above in Business Administration, Finance, Economics, Computer Science, Data Science, Engineering or another related discipline.
- Alternatively, 2+ years of Amazon RME (BB/3P) Full Time Exempt experience, as specified in the listing.
- Experience using Python scripting to process data for modeling.
- Experience using SQL to retrieve data from databases or data warehouses.
- At least 2 years of experience with Tableau Desktop, Amazon QuickSight or other relevant data visualization software.
- Experience with forecasting and statistical analysis.
- Experience using statistical analysis packages such as R, SAS or MATLAB.
- Experience with data modeling, data warehousing and ETL pipeline development.
- At least 3 years of automated reporting development experience.
Preferred Profile
- Master’s degree or above in Business Intelligence, Finance, Engineering, Statistics, Computer Science, Mathematics or an equivalent quantitative discipline.
- Advanced Microsoft Excel skills, including pivot tables, macros, INDEX/MATCH, VLOOKUP, VBA and data links.
- Experience with AWS services such as EC2, DynamoDB, S3 and Redshift.
- Experience in data mining, ETL and working with large-scale, complex datasets in business environments.
- Ability to develop and present recommendations for new metrics that improve business performance visibility.
About the AOP Team
Amazon’s Analytics Operations and Programs team works to standardize business intelligence and analytics capabilities and reduce repetitive reporting and analytics workloads across operations. The team supports operations across India, Australia, Brazil, Mexico, Singapore, the UAE, Egypt and Saudi Arabia.
The team includes engineers, analysts and scientists who work on operational performance visibility, network efficiency and defect reduction.
How to Apply
- Review the educational qualifications and technical experience required for the role.
- Prepare a resume highlighting SQL, Python, statistical analysis, automated reporting, data modeling and BI development experience.
- Use Apply on Original Source ↗ at the top of this job page to open the Amazon Careers application page.
- Follow the application instructions and submit your details through Amazon’s recruitment portal.
Before You Apply
- Be prepared to discuss automated reporting solutions you have developed and maintained.
- Review SQL queries, Python data processing, ETL pipelines and data modeling concepts.
- Prepare examples of forecasting, statistical analysis and model performance evaluation.
- Be familiar with Tableau, QuickSight or another relevant visualization platform.
- Review the AWS services listed in the preferred qualifications if you have relevant experience.
Workplace Accommodation
Amazon provides information about workplace accommodations and adjustments during the recruitment and hiring process. Candidates requiring assistance can refer to the accommodation information available through Amazon Jobs.