Business Intelligence Engineer, Devices \u0026 Services - Mobile
Bellevue, Washington
Unleash Your Potential in the World of Mobile AI - Join Alexa Mobile's Trailblazing Team!
Imagine a world where your smartphone becomes a gateway to limitless possibilities, empowering you to achieve more than ever before. At the forefront of this revolution is the Alexa Mobile team, and we're seeking talented Business Intelligence (BI) Engineers to help us craft that extraordinary vision.
As a BI Engineer, you'll play a pivotal role in shaping the future of Alexa's mobile experience. You'll collaborate with Product Managers, BI/Data Engineers, and Data Scientists to build cutting-edge data products that unlock invaluable insights and drive strategic decision-making. Your contributions will directly impact Alexa's ability to become the preferred mobile assistant on iOS and Android devices, enabling users to maximize productivity and lead a better quality life.
In this exhilarating role, you'll:
* Architect and implement a scalable, modern BI platform to support the rapid growth and analytical needs of our dynamic business.
* Partner with cross-functional teams to deliver high-quality data visualizations, reports, and dashboards that empower stakeholders to glean valuable insights and make informed decisions.
* Leverage your expertise in business intelligence to optimize data models, ETL processes, and reporting frameworks, ensuring efficient data flow and reliable analytics.
* Embrace innovation and continuously explore new BI tools, techniques, and methodologies to push the boundaries of what's possible in the realm of mobile AI analytics.
If you're passionate about transforming the way people interact with their mobile devices and eager to help shape the future of AI, we invite you to join our team. Together, we'll help the business redefine the boundaries of mobile intelligence and create an extraordinary experience that empowers users to achieve more than they ever thought possible.
Key job responsibilities
* Collaborate with Product Managers, Data Engineers, and Business Analysts to design, implement, and support high-quality BI solutions, including reports, dashboards, and data visualizations.
* Partner with data engineers to ensure the ingestion of relevant datasets into the organization's data-warehouse and/or data lake for BI and analytics purposes.
* Develop and maintain robust data models, ETL processes, and data warehousing solutions to support efficient and reliable BI operations.
* Leverage and manage BI tools like Amazon Quicksight to deliver insightful analytics and data visualizations.
* Conduct training sessions and knowledge-sharing sessions to educate stakeholders on BI product capabilities, best practices, and data literacy.
About the team
The Alexa Mobile BI team is the BI/Analytics team that supports the Alexa Mobile business. We are responsible for building data products (datasets, dashboards, ML models) and the underlying data platform, that enable the business to make informed decisions.
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA
BASIC QUALIFICATIONS
- 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
PREFERRED QUALIFICATIONS
- 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
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Imagine a world where your smartphone becomes a gateway to limitless possibilities, empowering you to achieve more than ever before. At the forefront of this revolution is the Alexa Mobile team, and we're seeking talented Business Intelligence (BI) Engineers to help us craft that extraordinary vision.
As a BI Engineer, you'll play a pivotal role in shaping the future of Alexa's mobile experience. You'll collaborate with Product Managers, BI/Data Engineers, and Data Scientists to build cutting-edge data products that unlock invaluable insights and drive strategic decision-making. Your contributions will directly impact Alexa's ability to become the preferred mobile assistant on iOS and Android devices, enabling users to maximize productivity and lead a better quality life.
In this exhilarating role, you'll:
* Architect and implement a scalable, modern BI platform to support the rapid growth and analytical needs of our dynamic business.
* Partner with cross-functional teams to deliver high-quality data visualizations, reports, and dashboards that empower stakeholders to glean valuable insights and make informed decisions.
* Leverage your expertise in business intelligence to optimize data models, ETL processes, and reporting frameworks, ensuring efficient data flow and reliable analytics.
* Embrace innovation and continuously explore new BI tools, techniques, and methodologies to push the boundaries of what's possible in the realm of mobile AI analytics.
If you're passionate about transforming the way people interact with their mobile devices and eager to help shape the future of AI, we invite you to join our team. Together, we'll help the business redefine the boundaries of mobile intelligence and create an extraordinary experience that empowers users to achieve more than they ever thought possible.
Key job responsibilities
* Collaborate with Product Managers, Data Engineers, and Business Analysts to design, implement, and support high-quality BI solutions, including reports, dashboards, and data visualizations.
* Partner with data engineers to ensure the ingestion of relevant datasets into the organization's data-warehouse and/or data lake for BI and analytics purposes.
* Develop and maintain robust data models, ETL processes, and data warehousing solutions to support efficient and reliable BI operations.
* Leverage and manage BI tools like Amazon Quicksight to deliver insightful analytics and data visualizations.
* Conduct training sessions and knowledge-sharing sessions to educate stakeholders on BI product capabilities, best practices, and data literacy.
About the team
The Alexa Mobile BI team is the BI/Analytics team that supports the Alexa Mobile business. We are responsible for building data products (datasets, dashboards, ML models) and the underlying data platform, that enable the business to make informed decisions.
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA
BASIC QUALIFICATIONS
- 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
PREFERRED QUALIFICATIONS
- 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
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Created: 2024-06-25
Reference: 2679761
Country: United States
State: Washington
City: Bellevue
ZIP: 98004
About Amazon
Founded in: 1994
Number of Employees: 1600000
Website: https://www.amazon.com/
Career site: https://www.amazon.jobs/en/
Instagram: https://www.instagram.com/amazon/
LinkedIn: https://www.linkedin.com/company/amazon/
Facebook: https://www.facebook.com/Amazon
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