About the job
Amazon is hiring a Business Intelligence Engineer I for its Global Reporting & Standards (GRS) team in Hyderabad. The team works within Global Reliability and Maintenance Engineering (RME), using data analysis and business intelligence to help teams understand operational performance and make informed decisions.
In this role, you will develop business intelligence solutions, build reports, analyse large datasets and validate data against business rules and source systems. You will also work with business teams, data scientists and other stakeholders to understand reporting needs and turn findings into useful recommendations.
Candidates need at least 2 years of experience analysing and interpreting data using technologies such as Amazon Redshift, Oracle or NoSQL. Experience with data visualisation tools and a scripting language such as Python, Java or R is also required.
Job Details
- Company: Amazon
- Job Title: Business Intelligence Engineer I, Global Reporting & Standards (GRS)
- Job ID: 10577005
- Location: Hyderabad, Telangana, India
- Team: Global Reporting & Standards (GRS), Global Reliability and Maintenance Engineering (RME)
- Experience: 2+ years of relevant data analysis and interpretation experience
- Salary: Not specified
- Employment Type: Full-time
- Work Mode: Not specified in the available job description
What You’ll Do
- Build medium-sized to large business intelligence solutions or develop components of larger reporting systems.
- Create reports, analyses and other BI assets, including contributions to team data marts.
- Write and maintain queries, code and reports, ensuring that the results match source data, business rules and defined metrics.
- Validate analytical outputs and participate in reviews of code, queries and analyses.
- Understand data lineage, including where data originates, how metrics are calculated and how business teams use the results.
- Work with business stakeholders, data scientists and internal partners to understand requirements and deliver suitable analytical solutions.
- Research business questions, identify data requirements, support experiments and communicate findings to stakeholders.
- Improve existing BI solutions and develop new ones to meet changing business needs and team objectives.
What You Need
- At least 2 years of experience analysing and interpreting data using systems such as Amazon Redshift, Oracle, NoSQL or similar technologies.
- Experience with data visualisation using Tableau, Amazon QuickSight or comparable tools.
- Experience with analytics and visualisation tools such as Excel, Tableau, QuickSight, MicroStrategy or Power BI.
- Familiarity with statistical methods, including t-tests and chi-squared tests.
- Experience with at least one scripting language, such as Python, Java or R.
Preferred Qualifications
- A master’s degree or an advanced technical degree.
- Knowledge of data modelling and data pipeline design.
- Experience with statistical analysis and correlation analysis.
Technical Skills
- Data platforms: Amazon Redshift, Oracle and NoSQL systems.
- Business intelligence: Tableau, Amazon QuickSight, Power BI, MicroStrategy and Excel.
- Programming: Python, Java or R.
- Statistics: Hypothesis testing, t-tests, chi-squared tests and correlation analysis.
- Data engineering concepts: Data modelling, data lineage and data pipeline design.
- Reporting: BI solutions, data marts, business metrics and analytical reports.
Who Should Apply?
This position may suit professionals with experience in business intelligence, data analytics, reporting or related analytical work who meet Amazon’s technical requirements. Candidates should be comfortable working with data sources, validating results, developing reports and explaining analytical findings to business stakeholders.
Before You Apply
- Prepare examples of data analysis projects where you used Redshift, Oracle, NoSQL or a comparable data platform.
- Review your experience creating dashboards and reports with Tableau, QuickSight, Power BI or Excel.
- Practise explaining how you validate queries, check data quality and ensure that reported metrics match source data.
- Revise statistical concepts such as t-tests, chi-squared tests and correlation analysis.
- Prepare to discuss your experience with Python, Java or R, along with data modelling and pipeline design if applicable.
How to Apply
- Review the complete job requirements and confirm that your experience matches the mandatory qualifications.
- Keep your resume updated with relevant data analysis projects, BI tools, programming skills and measurable work outcomes.
- Click Apply on Original Source ↗ in the top section of this JobsInHyd job page to open Amazon’s original job listing.
- Follow Amazon’s application instructions and submit your details through its careers portal.
Important: The official listing does not specify a salary or closing date. Check the original Amazon careers page for current availability and any updated requirements.
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 other business areas. This position is part of its Global Reliability and Maintenance Engineering organisation, where the GRS team uses reporting and analytics to support operational decisions.
Amazon is hiring a Business Intelligence Engineer I for its Global Reporting & Standards (GRS) team in Hyderabad. The team works within Global Reliability and Maintenance Engineering (RME), using data analysis and business intelligence to help teams understand operational performance and make informed decisions.
In this role, you will develop business intelligence solutions, build reports, analyse large datasets and validate data against business rules and source systems. You will also work with business teams, data scientists and other stakeholders to understand reporting needs and turn findings into useful recommendations.
Candidates need at least 2 years of experience analysing and interpreting data using technologies such as Amazon Redshift, Oracle or NoSQL. Experience with data visualisation tools and a scripting language such as Python, Java or R is also required.
Job Details
- Company: Amazon
- Job Title: Business Intelligence Engineer I, Global Reporting & Standards (GRS)
- Job ID: 10577005
- Location: Hyderabad, Telangana, India
- Team: Global Reporting & Standards (GRS), Global Reliability and Maintenance Engineering (RME)
- Experience: 2+ years of relevant data analysis and interpretation experience
- Salary: Not specified
- Employment Type: Full-time
- Work Mode: Not specified in the available job description
What You’ll Do
- Build medium-sized to large business intelligence solutions or develop components of larger reporting systems.
- Create reports, analyses and other BI assets, including contributions to team data marts.
- Write and maintain queries, code and reports, ensuring that the results match source data, business rules and defined metrics.
- Validate analytical outputs and participate in reviews of code, queries and analyses.
- Understand data lineage, including where data originates, how metrics are calculated and how business teams use the results.
- Work with business stakeholders, data scientists and internal partners to understand requirements and deliver suitable analytical solutions.
- Research business questions, identify data requirements, support experiments and communicate findings to stakeholders.
- Improve existing BI solutions and develop new ones to meet changing business needs and team objectives.
What You Need
- At least 2 years of experience analysing and interpreting data using systems such as Amazon Redshift, Oracle, NoSQL or similar technologies.
- Experience with data visualisation using Tableau, Amazon QuickSight or comparable tools.
- Experience with analytics and visualisation tools such as Excel, Tableau, QuickSight, MicroStrategy or Power BI.
- Familiarity with statistical methods, including t-tests and chi-squared tests.
- Experience with at least one scripting language, such as Python, Java or R.
Preferred Qualifications
- A master’s degree or an advanced technical degree.
- Knowledge of data modelling and data pipeline design.
- Experience with statistical analysis and correlation analysis.
Technical Skills
- Data platforms: Amazon Redshift, Oracle and NoSQL systems.
- Business intelligence: Tableau, Amazon QuickSight, Power BI, MicroStrategy and Excel.
- Programming: Python, Java or R.
- Statistics: Hypothesis testing, t-tests, chi-squared tests and correlation analysis.
- Data engineering concepts: Data modelling, data lineage and data pipeline design.
- Reporting: BI solutions, data marts, business metrics and analytical reports.
Who Should Apply?
This position may suit professionals with experience in business intelligence, data analytics, reporting or related analytical work who meet Amazon’s technical requirements. Candidates should be comfortable working with data sources, validating results, developing reports and explaining analytical findings to business stakeholders.
Before You Apply
- Prepare examples of data analysis projects where you used Redshift, Oracle, NoSQL or a comparable data platform.
- Review your experience creating dashboards and reports with Tableau, QuickSight, Power BI or Excel.
- Practise explaining how you validate queries, check data quality and ensure that reported metrics match source data.
- Revise statistical concepts such as t-tests, chi-squared tests and correlation analysis.
- Prepare to discuss your experience with Python, Java or R, along with data modelling and pipeline design if applicable.
How to Apply
- Review the complete job requirements and confirm that your experience matches the mandatory qualifications.
- Keep your resume updated with relevant data analysis projects, BI tools, programming skills and measurable work outcomes.
- Click Apply on Original Source ↗ in the top section of this JobsInHyd job page to open Amazon’s original job listing.
- Follow Amazon’s application instructions and submit your details through its careers portal.
Important: The official listing does not specify a salary or closing date. Check the original Amazon careers page for current availability and any updated requirements.