Business Intelligence Engineer II R2L
Business Intelligence Engineer II R2L
Posted on :
08-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 89600 - 185000
Vacancy
1 Vacancy
Posted on :
08-04-2025
Job Description
The LPE Technical Solutions team supporting the Rapid and Rural Logistics (R2L) org is seeking a truly innovative Business Intelligence Engineer with broad technical skills to help build the infrastructure and tools required to support a new fast growing business.
The ideal candidate will have a passion for automation and clean streamlined process design. The applicant will draw upon advanced analytical critical thinking problem solving skills software development experience and an aptitude for creating maintainable highly reliable distributed systems which operate 24/7/365. You will work with analytic tools write excellent scripts partner with customers to answer key business questions and act as an advocate for your customers. Successful members of this team collaborate effectively with internal endusers crossfunctional software development teams and technical support/sustaining engineering teams to solve problems implement new solutions and deliver successfully against high operational standards of system availability and reliability. We look for candidates who are excellent communicators selfmotivated flexible hardworking and who like to have fun.
The complexity of research and skills for a Business Intelligence Engineer is well beyond basic data entry and extraction. It involves design and development of automated data pipelines sophisticated analytical model and intuitive data visualization. In addition this role is on a large analytical team that supports a wide range of businesses. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.
Key job responsibilities
Perform data extraction manipulation and production from database tables
Own the design development and maintenance of reports analyses dashboards etc. to drive key business decisions
Create automated tools via VBA and connection to streamline process
Create data flows and develop/manage new metrics
Design implement and validate complex logic using queries
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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience in Statistical Analysis packages such as R SAS and Matlab
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 largescale 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.
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 jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
The ideal candidate will have a passion for automation and clean streamlined process design. The applicant will draw upon advanced analytical critical thinking problem solving skills software development experience and an aptitude for creating maintainable highly reliable distributed systems which operate 24/7/365. You will work with analytic tools write excellent scripts partner with customers to answer key business questions and act as an advocate for your customers. Successful members of this team collaborate effectively with internal endusers crossfunctional software development teams and technical support/sustaining engineering teams to solve problems implement new solutions and deliver successfully against high operational standards of system availability and reliability. We look for candidates who are excellent communicators selfmotivated flexible hardworking and who like to have fun.
The complexity of research and skills for a Business Intelligence Engineer is well beyond basic data entry and extraction. It involves design and development of automated data pipelines sophisticated analytical model and intuitive data visualization. In addition this role is on a large analytical team that supports a wide range of businesses. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.
Key job responsibilities
Perform data extraction manipulation and production from database tables
Own the design development and maintenance of reports analyses dashboards etc. to drive key business decisions
Create automated tools via VBA and connection to streamline process
Create data flows and develop/manage new metrics
Design implement and validate complex logic using queries
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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience in Statistical Analysis packages such as R SAS and Matlab
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 largescale 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.
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 jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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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