Description
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Are you ready to be at the forefront of Agentic AI innovation and redefine the future of communication? Join our dynamic Alexa Connections team as a Business Intelligence Engineer, and lead futuristic initiatives that will shape the next generation of intelligent, conversational experiences. In this role, you'll work at the intersection of disruptive AI technologies and real-world impact, making a difference for millions of customers. You'll collaborate with a team of passionate professionals who are as excited about innovation as you are, and together, you'll push the boundaries of what's possible with Alexa+.
As a BIE, you'll drive the development of scalable real-time metrics reporting and analysis tools for our next-generation communication features powered by advanced AI technologies, including Generative, Agentic, and Real-time AI. You'll work closely with cross-functional teams, including product management, engineering, design, and data science, to design and deliver innovative solutions that leverage these AI technologies to enable seamless, intelligent communication experiences. You'll also lead the integration of these advanced data systems into Alexa's core capabilities, ensuring a seamless and intuitive user experience.
Key job responsibilities
- Define the data elements to enable analytical and reporting capabilities, and work cross-functionally with other business intelligence teams
- Own the design, development, and maintenance of the data models that support ongoing metrics, reports, and analyses used to drive key business decisions
- Use expertise in qualitative and quantitative analysis to deliver actionable insights to stakeholders
- Use business intelligence and visualization software (e.g., Quicksight, Tableau) to develop dashboards that are used by senior leadership, HST, One Medical and other health teams
- Drive data democratization throughout the organization, enabling others to self-serve their data needs. Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.
- Develop deep understanding of vast data sources and know exactly how, when, and which data to use to solve particular business problems.
* Design and influence operational best practices for reporting and analytics to enable the team to scale as we grow
* Work with Product Managers, Engineering, Finance, Marketing teams and other stakeholders on need basis to support their new analytics requirements.
* Manage numerous requests concurrently and strategically, prioritizing when necessary.
* Partner/collaborate across teams/roles to deliver results.
About the team
Alexa Connections aspires to make Alexa+ the world’s most trusted connection assistant for getting things done and creating moments of joy. Our vision emphasizes a) Trust as our foundation for becoming a daily habit, knowing our customers have plentiful choices, b) Completion of end-to-end customer journeys, beyond shipping features, and c) Joy through personalized, proactive experiences, that create a memory.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Are you ready to be at the forefront of Agentic AI innovation and redefine the future of communication? Join our dynamic Alexa Connections team as a Business Intelligence Engineer, and lead futuristic initiatives that will shape the next generation of intelligent, conversational experiences. In this role, you'll work at the intersection of disruptive AI technologies and real-world impact, making a difference for millions of customers. You'll collaborate with a team of passionate professionals who are as excited about innovation as you are, and together, you'll push the boundaries of what's possible with Alexa+.
As a BIE, you'll drive the development of scalable real-time metrics reporting and analysis tools for our next-generation communication features powered by advanced AI technologies, including Generative, Agentic, and Real-time AI. You'll work closely with cross-functional teams, including product management, engineering, design, and data science, to design and deliver innovative solutions that leverage these AI technologies to enable seamless, intelligent communication experiences. You'll also lead the integration of these advanced data systems into Alexa's core capabilities, ensuring a seamless and intuitive user experience.
Key job responsibilities
- Define the data elements to enable analytical and reporting capabilities, and work cross-functionally with other business intelligence teams
- Own the design, development, and maintenance of the data models that support ongoing metrics, reports, and analyses used to drive key business decisions
- Use expertise in qualitative and quantitative analysis to deliver actionable insights to stakeholders
- Use business intelligence and visualization software (e.g., Quicksight, Tableau) to develop dashboards that are used by senior leadership, HST, One Medical and other health teams
- Drive data democratization throughout the organization, enabling others to self-serve their data needs. Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.
- Develop deep understanding of vast data sources and know exactly how, when, and which data to use to solve particular business problems.
* Design and influence operational best practices for reporting and analytics to enable the team to scale as we grow
* Work with Product Managers, Engineering, Finance, Marketing teams and other stakeholders on need basis to support their new analytics requirements.
* Manage numerous requests concurrently and strategically, prioritizing when necessary.
* Partner/collaborate across teams/roles to deliver results.
About the team
Alexa Connections aspires to make Alexa+ the world’s most trusted connection assistant for getting things done and creating moments of joy. Our vision emphasizes a) Trust as our foundation for becoming a daily habit, knowing our customers have plentiful choices, b) Completion of end-to-end customer journeys, beyond shipping features, and c) Joy through personalized, proactive experiences, that create a memory.
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