Business Intelligence Engineer II, Quantitative Business Intelligence Technology (QUBIT)
Business Intelligence Engineer II, Quantitative Business Intelligence Technology (QUBIT)
Posted on :
22-06-2025
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1 Vacancy
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Job Description
Are you passionate about leveraging data to drive business solutions and uncover key insights Quantitative Business Intelligence Technology (QuBIT) is seeking a Business Intelligence Engineer to join our team. We support North American Fulfillment Network GCF Aces Customer Experience and other Central Operations business units with data solutions to solve complex business problems.
Key job responsibilities
As a Business Intelligence Engineer at QuBIT you will:
- Design develop and manage scalable data solutions including pipelines analytics tools and dashboards
- Build and maintain infrastructure for regular reporting on business performance
- Conduct deep dive analyses to test hypotheses and uncover actionable insights
- Create near real-time analytics capabilities to drive rapid decision making
- Collaborate with stakeholders across the organization to understand business needs and deliver impactful solutions
- Serve as a technical specialist and insights provider bridging the gap between business and technical teams
This role offers the opportunity to work on challenging problems at scale and make a significant impact on Amazons operations.
- 2 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
- Bachelors degree in sciences engineering finance or equivalent
- 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
- Experience designing and implementing data architecture solutions
- Understanding of basic data science techniques including statistical analysis forecasting and machine learning concepts
- Experience working with large-scale complex datasets in a business environment
- Strong communication skills and ability to present insights to both technical and non-technical audiences
- Bachelors or Masters degree in Computer Science Statistics Engineering or related quantitative field
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 $89600/year in our lowest geographic market up to $185000/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
As a Business Intelligence Engineer at QuBIT you will:
- Design develop and manage scalable data solutions including pipelines analytics tools and dashboards
- Build and maintain infrastructure for regular reporting on business performance
- Conduct deep dive analyses to test hypotheses and uncover actionable insights
- Create near real-time analytics capabilities to drive rapid decision making
- Collaborate with stakeholders across the organization to understand business needs and deliver impactful solutions
- Serve as a technical specialist and insights provider bridging the gap between business and technical teams
This role offers the opportunity to work on challenging problems at scale and make a significant impact on Amazons operations.
- 2 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
- Bachelors degree in sciences engineering finance or equivalent
- 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
- Experience designing and implementing data architecture solutions
- Understanding of basic data science techniques including statistical analysis forecasting and machine learning concepts
- Experience working with large-scale complex datasets in a business environment
- Strong communication skills and ability to present insights to both technical and non-technical audiences
- Bachelors or Masters degree in Computer Science Statistics Engineering or related quantitative field
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 $89600/year in our lowest geographic market up to $185000/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.
Employment Type
Full-Time
Key Skills
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