About the job
Amazon is hiring a Business Intelligence Engineer for its Amazon Shipping team in Hyderabad. The role focuses on analyzing transportation and logistics data, building dashboards and reports, managing large datasets, and delivering recommendations that support business planning, cost optimization and profitability.
Candidates should have at least 2 years of experience analyzing and interpreting data using technologies such as Amazon Redshift, Oracle or NoSQL databases. Experience with BI visualization tools and a scripting language such as Python, Java or R is also required. Knowledge of data modeling, data pipeline design and statistical analysis is preferred.
Job Details
- Company: Amazon
- Team: Amazon Shipping
- Role: Business Intelligence Engineer
- Job ID: 10583222
- Job Location Code: ADCI HYD 13 SEZ
- Location: Hyderabad, Telangana
- Experience: 2+ years of data analysis and interpretation experience
- Salary: Not disclosed
- Employment Type: Not specified in the supplied description
- Industry: E-commerce, Logistics and Technology
- Function: Business Intelligence, Data Analytics and Reporting
What You’ll Do
- Collect, process and manage large datasets from multiple sources while maintaining data accuracy, consistency and accessibility.
- Analyze complex datasets to identify trends, patterns and insights that support business decisions.
- Build and maintain dashboards, reports and visualizations using business intelligence tools.
- Translate analytical findings into clear, actionable recommendations for business stakeholders.
- Work with stakeholders to understand data requirements and support strategic planning.
- Contribute to projects designed to improve transportation costs and overall business profitability.
- Use relevant BI tools and technologies to improve data analysis and reporting capabilities.
- Support data-driven decision-making across Amazon Shipping’s transportation and logistics operations.
What You Need
- At least 2 years of experience analyzing and interpreting data using technologies such as Amazon Redshift, Oracle or NoSQL databases.
- Experience with data visualization using Tableau, Amazon QuickSight or similar tools.
- Experience with at least one analytics or visualization tool, such as Excel, Tableau, Amazon QuickSight, MicroStrategy or Power BI.
- Knowledge of statistical methods, including techniques such as t-tests and chi-squared tests.
- Experience with a scripting language such as Python, Java or R.
- Ability to analyze data and communicate useful findings to stakeholders.
Preferred Qualifications
- Master’s degree or an advanced technical degree.
- Knowledge of data modeling and data pipeline design.
- Experience with statistical analysis and correlation analysis.
Tools and Technologies
- Databases and data platforms: Amazon Redshift, Oracle and NoSQL databases.
- BI and visualization: Tableau, Amazon QuickSight, Power BI, Excel and MicroStrategy.
- Programming and scripting: Python, Java or R.
- Statistics: t-tests, chi-squared tests and correlation analysis.
- Data engineering concepts: Data integration, data modeling and data pipeline design.
About the Team
Amazon’s fulfillment and transportation network moves packages between vendors, warehouses and customer locations through a complex network of logistics nodes. The Amazon Shipping BI and Data Engineering team works on large-scale transportation problems using data workflows, optimization algorithms and machine learning systems.
In this role, you will help turn transportation and business data into reports, visualizations and recommendations that support operational and strategic decisions.
How to Apply
- Review the complete job requirements and confirm that your experience matches the basic qualifications.
- Prepare an updated resume highlighting your data analysis, database, BI visualization and scripting experience.
- Use Apply on Original Source ↗ in the top section of the JobsInHyd job page to open Amazon’s official careers listing.
- Review the application instructions on Amazon’s website and submit your application there.
Before You Apply
- Highlight practical experience with Redshift, Oracle or NoSQL databases, as relevant to your background.
- Include examples of dashboards, reports or visualizations you have developed using Tableau, QuickSight, Power BI or similar tools.
- Be ready to explain how you analyzed a dataset and used the findings to support a business decision.
- Review statistical methods, including t-tests, chi-squared tests and correlation analysis.
- Prepare examples of your work with data quality, data integration, data modeling or data pipelines if applicable.
- Check the original Amazon careers page for the latest application status and any additional requirements.
Workplace Accommodation
Amazon provides information about workplace accommodations for candidates who need support during the interview or onboarding process. Visit the Amazon workplace accommodations page for details.
Job Details
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JobsInHyd does not guarantee hiring outcomes.About Amazon
Amazon is a global technology and e-commerce company operating across online retail, cloud computing, digital services and logistics.
Amazon is hiring a Business Intelligence Engineer for its Amazon Shipping team in Hyderabad. The role focuses on analyzing transportation and logistics data, building dashboards and reports, managing large datasets, and delivering recommendations that support business planning, cost optimization and profitability.
Candidates should have at least 2 years of experience analyzing and interpreting data using technologies such as Amazon Redshift, Oracle or NoSQL databases. Experience with BI visualization tools and a scripting language such as Python, Java or R is also required. Knowledge of data modeling, data pipeline design and statistical analysis is preferred.
Job Details
- Company: Amazon
- Team: Amazon Shipping
- Role: Business Intelligence Engineer
- Job ID: 10583222
- Job Location Code: ADCI HYD 13 SEZ
- Location: Hyderabad, Telangana
- Experience: 2+ years of data analysis and interpretation experience
- Salary: Not disclosed
- Employment Type: Not specified in the supplied description
- Industry: E-commerce, Logistics and Technology
- Function: Business Intelligence, Data Analytics and Reporting
What You’ll Do
- Collect, process and manage large datasets from multiple sources while maintaining data accuracy, consistency and accessibility.
- Analyze complex datasets to identify trends, patterns and insights that support business decisions.
- Build and maintain dashboards, reports and visualizations using business intelligence tools.
- Translate analytical findings into clear, actionable recommendations for business stakeholders.
- Work with stakeholders to understand data requirements and support strategic planning.
- Contribute to projects designed to improve transportation costs and overall business profitability.
- Use relevant BI tools and technologies to improve data analysis and reporting capabilities.
- Support data-driven decision-making across Amazon Shipping’s transportation and logistics operations.
What You Need
- At least 2 years of experience analyzing and interpreting data using technologies such as Amazon Redshift, Oracle or NoSQL databases.
- Experience with data visualization using Tableau, Amazon QuickSight or similar tools.
- Experience with at least one analytics or visualization tool, such as Excel, Tableau, Amazon QuickSight, MicroStrategy or Power BI.
- Knowledge of statistical methods, including techniques such as t-tests and chi-squared tests.
- Experience with a scripting language such as Python, Java or R.
- Ability to analyze data and communicate useful findings to stakeholders.
Preferred Qualifications
- Master’s degree or an advanced technical degree.
- Knowledge of data modeling and data pipeline design.
- Experience with statistical analysis and correlation analysis.
Tools and Technologies
- Databases and data platforms: Amazon Redshift, Oracle and NoSQL databases.
- BI and visualization: Tableau, Amazon QuickSight, Power BI, Excel and MicroStrategy.
- Programming and scripting: Python, Java or R.
- Statistics: t-tests, chi-squared tests and correlation analysis.
- Data engineering concepts: Data integration, data modeling and data pipeline design.
About the Team
Amazon’s fulfillment and transportation network moves packages between vendors, warehouses and customer locations through a complex network of logistics nodes. The Amazon Shipping BI and Data Engineering team works on large-scale transportation problems using data workflows, optimization algorithms and machine learning systems.
In this role, you will help turn transportation and business data into reports, visualizations and recommendations that support operational and strategic decisions.
How to Apply
- Review the complete job requirements and confirm that your experience matches the basic qualifications.
- Prepare an updated resume highlighting your data analysis, database, BI visualization and scripting experience.
- Use Apply on Original Source ↗ in the top section of the JobsInHyd job page to open Amazon’s official careers listing.
- Review the application instructions on Amazon’s website and submit your application there.
Before You Apply
- Highlight practical experience with Redshift, Oracle or NoSQL databases, as relevant to your background.
- Include examples of dashboards, reports or visualizations you have developed using Tableau, QuickSight, Power BI or similar tools.
- Be ready to explain how you analyzed a dataset and used the findings to support a business decision.
- Review statistical methods, including t-tests, chi-squared tests and correlation analysis.
- Prepare examples of your work with data quality, data integration, data modeling or data pipelines if applicable.
- Check the original Amazon careers page for the latest application status and any additional requirements.
Workplace Accommodation
Amazon provides information about workplace accommodations for candidates who need support during the interview or onboarding process. Visit the Amazon workplace accommodations page for details.