Sr. Business Intelligence Engineer
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Job Location:
Yearly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Project Kuiper is an initiative to increase global broadband access through a constellation of 3236 satellites in low Earth orbit (LEO). Its mission is to bring fast affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast affordable broadband to a wide range of customers including consumers businesses government agencies and other organizations operating in places without reliable connectivity.
Key job responsibilities
Analyze large data sets to identify patterns and drive strategic shifts in product offering and service plan pricing impacting business decisions and customer experience.
Develop pre-launch and post-launch science forecasts for subscriber adds churn product and service plan mix and seasonality.
Drive actions at scale to optimize forecast methodology and drive improvements to forecast reliability.
Create recurring competitive insights and pricing trend analysis.
Write queries to extract data and insights combining datasets within Kuiper with publicly available datasets.
Design build and maintain automated reporting dashboards and recurrent analysis to inform and influence data-driven decisions for business operations.
Deliver comprehensive written strategy documents considering different types of data and inputs across a broad range of stakeholders.
Communicate effectively with senior management audiences (e.g. narratives inputs into weekly/monthly/quarterly business reviews).
Drive best practices in operational excellence data modeling and analysis. Ensure that BI solutions are correctly and efficiently supporting the business.
Participate in hiring activities and mentor junior team members.
Export Control Requirements: Due to applicable export control laws and regulations candidates must be a U.S. citizen or national U.S. permanent resident (i.e. current Green Card holder) or lawfully admitted into the U.S. as a refugee or granted asylum.
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
- Fluency in statistical concepts and advanced statistical techniques (distributions confidence intervals time series analysis regression models clustering).
- Experience with statistical analysis tools root cause analysis process design and control.
- Experience with data modeling warehousing and building ETL pipelines.
- Experience with data visualization using Tableau Quicksight or similar tools.
- Experience working directly with business stakeholders to translate between data and business needs.
- Experience in technology media or telecommunications; satellite internet; consumer electronics; or subscription services.
- 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 an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117300/year in our lowest geographic market up to $202800/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key job responsibilities
Analyze large data sets to identify patterns and drive strategic shifts in product offering and service plan pricing impacting business decisions and customer experience.
Develop pre-launch and post-launch science forecasts for subscriber adds churn product and service plan mix and seasonality.
Drive actions at scale to optimize forecast methodology and drive improvements to forecast reliability.
Create recurring competitive insights and pricing trend analysis.
Write queries to extract data and insights combining datasets within Kuiper with publicly available datasets.
Design build and maintain automated reporting dashboards and recurrent analysis to inform and influence data-driven decisions for business operations.
Deliver comprehensive written strategy documents considering different types of data and inputs across a broad range of stakeholders.
Communicate effectively with senior management audiences (e.g. narratives inputs into weekly/monthly/quarterly business reviews).
Drive best practices in operational excellence data modeling and analysis. Ensure that BI solutions are correctly and efficiently supporting the business.
Participate in hiring activities and mentor junior team members.
Export Control Requirements: Due to applicable export control laws and regulations candidates must be a U.S. citizen or national U.S. permanent resident (i.e. current Green Card holder) or lawfully admitted into the U.S. as a refugee or granted asylum.
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
- Fluency in statistical concepts and advanced statistical techniques (distributions confidence intervals time series analysis regression models clustering).
- Experience with statistical analysis tools root cause analysis process design and control.
- Experience with data modeling warehousing and building ETL pipelines.
- Experience with data visualization using Tableau Quicksight or similar tools.
- Experience working directly with business stakeholders to translate between data and business needs.
- Experience in technology media or telecommunications; satellite internet; consumer electronics; or subscription services.
- 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 an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117300/year in our lowest geographic market up to $202800/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Key Skills
- Business Intelligence
- Cognos
- SQL
- Power BI
- QlikView
- Data Visualization
- ssrs
- Tableau
- SSIS
- Data Modeling
- Data Warehouse
- Data Analysis Skills
About Company
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