Business Intelligence Engineer I, Amazon FinAuto - GREF Tech
Job Description
The Global Real Estate and Facilities (GREF) Technology team, part of Finance Automation, is the software development and data and analytics team for GREF. Our mission is to build technology solutions that simplify the processes Amazon employs to manage its corporate real estate and improve workplace experience. We build services and products that support various GREF domains, including space and occupancy planning, design and construction, employee health and safety, sustainability, facilities maintenance, help desk, and building management systems requiring IoT expertise. If you possess the skills to build, operate, and scale the next generation of distributed systems supporting Amazon's growth, this role may be well-suited for you.We are seeking a passionate Business Intelligence Engineer I to create the next generation of real estate systems and tools. You will play a crucial role in driving the development and implementation of advanced business intelligence and analytics solutions. You will leverage your strong technical expertise and analytical skills to empower GREF's cross-functional teams with actionable data insights that support strategic decision-making.The ideal candidate is a self-starter, comfortable with ambiguity, and excels at building highly scalable solutions. They will enjoy learning, implementing new technologies, and will be innovative in implementing them in suitable situations. A Business Intelligence Engineer I at Amazon works on real world problems on a global scale, owns their systems end to end and influences the direction of our technology that impacts hundreds of millions of customers around the world. Coming to Amazon gives you the opportunity to work on development teams in one of our many rapidly growing organizations. Come join us in making history!Key job responsibilities• Design and develop robust, scalable, and high-performance BI architectures and data models to address GREF's business intelligence requirements • Build visually engaging, interactive dashboards and reports that provide valuable insights to GREF stakeholders using Amazon QuickSight • Collaborate closely with data engineers, data scientists, and business partners to define and deliver impactful BI solutions that drive value for the GREF organization• Diving deep into large data sets to answer specific business questions using Excel, SQL and other data manipulation languages• Troubleshoot data, analyses, and code, research root causes, propose solutions, and take ownership in next steps for their resolutions• Continually evaluate and recommend new BI tools and technologies to enhance GREF's analytical capabilities
Locations
- India, TS, Hyderabad, Hyderabad, TS, India
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
15,000,000 - 25,000,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceintermediate
- - Experience with data visualization using Tableau, Quicksight, or similar toolsintermediate
- - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)intermediate
- - Experience with scripting language (e.g., Python, Java, or R)intermediate
Required Qualifications
- - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience (experience, 2 years)
- - Experience with data visualization using Tableau, Quicksight, or similar tools (experience)
- - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) (experience)
- - Experience with scripting language (e.g., Python, Java, or R) (experience)
Preferred Qualifications
- - Master's degree, or Advanced technical degree (degree in advanced technical degree)
- - Knowledge of data modeling and data pipeline design (experience)
- - Experience with statistical analysis, co-relation analysis (experience)
Responsibilities
- • Design and develop robust, scalable, and high-performance BI architectures and data models to address GREF's business intelligence requirements
- • Build visually engaging, interactive dashboards and reports that provide valuable insights to GREF stakeholders using Amazon QuickSight
- • Collaborate closely with data engineers, data scientists, and business partners to define and deliver impactful BI solutions that drive value for the GREF organization
- • Diving deep into large data sets to answer specific business questions using Excel, SQL and other data manipulation languages
- • Troubleshoot data, analyses, and code, research root causes, propose solutions, and take ownership in next steps for their resolutions
- • Continually evaluate and recommend new BI tools and technologies to enhance GREF's analytical capabilities
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Business Intelligence Engineer I, Amazon FinAuto - GREF Tech
Job Description
The Global Real Estate and Facilities (GREF) Technology team, part of Finance Automation, is the software development and data and analytics team for GREF. Our mission is to build technology solutions that simplify the processes Amazon employs to manage its corporate real estate and improve workplace experience. We build services and products that support various GREF domains, including space and occupancy planning, design and construction, employee health and safety, sustainability, facilities maintenance, help desk, and building management systems requiring IoT expertise. If you possess the skills to build, operate, and scale the next generation of distributed systems supporting Amazon's growth, this role may be well-suited for you.We are seeking a passionate Business Intelligence Engineer I to create the next generation of real estate systems and tools. You will play a crucial role in driving the development and implementation of advanced business intelligence and analytics solutions. You will leverage your strong technical expertise and analytical skills to empower GREF's cross-functional teams with actionable data insights that support strategic decision-making.The ideal candidate is a self-starter, comfortable with ambiguity, and excels at building highly scalable solutions. They will enjoy learning, implementing new technologies, and will be innovative in implementing them in suitable situations. A Business Intelligence Engineer I at Amazon works on real world problems on a global scale, owns their systems end to end and influences the direction of our technology that impacts hundreds of millions of customers around the world. Coming to Amazon gives you the opportunity to work on development teams in one of our many rapidly growing organizations. Come join us in making history!Key job responsibilities• Design and develop robust, scalable, and high-performance BI architectures and data models to address GREF's business intelligence requirements • Build visually engaging, interactive dashboards and reports that provide valuable insights to GREF stakeholders using Amazon QuickSight • Collaborate closely with data engineers, data scientists, and business partners to define and deliver impactful BI solutions that drive value for the GREF organization• Diving deep into large data sets to answer specific business questions using Excel, SQL and other data manipulation languages• Troubleshoot data, analyses, and code, research root causes, propose solutions, and take ownership in next steps for their resolutions• Continually evaluate and recommend new BI tools and technologies to enhance GREF's analytical capabilities
Locations
- India, TS, Hyderabad, Hyderabad, TS, India
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
15,000,000 - 25,000,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceintermediate
- - Experience with data visualization using Tableau, Quicksight, or similar toolsintermediate
- - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)intermediate
- - Experience with scripting language (e.g., Python, Java, or R)intermediate
Required Qualifications
- - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience (experience, 2 years)
- - Experience with data visualization using Tableau, Quicksight, or similar tools (experience)
- - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) (experience)
- - Experience with scripting language (e.g., Python, Java, or R) (experience)
Preferred Qualifications
- - Master's degree, or Advanced technical degree (degree in advanced technical degree)
- - Knowledge of data modeling and data pipeline design (experience)
- - Experience with statistical analysis, co-relation analysis (experience)
Responsibilities
- • Design and develop robust, scalable, and high-performance BI architectures and data models to address GREF's business intelligence requirements
- • Build visually engaging, interactive dashboards and reports that provide valuable insights to GREF stakeholders using Amazon QuickSight
- • Collaborate closely with data engineers, data scientists, and business partners to define and deliver impactful BI solutions that drive value for the GREF organization
- • Diving deep into large data sets to answer specific business questions using Excel, SQL and other data manipulation languages
- • Troubleshoot data, analyses, and code, research root causes, propose solutions, and take ownership in next steps for their resolutions
- • Continually evaluate and recommend new BI tools and technologies to enhance GREF's analytical capabilities