Business Intelligence Engineer, IT Services
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Job Location:
Austin, TX - USA
Yearly Salary:
$ 89600 - 185000
Posted on:
24 days ago
Vacancies:
1 Vacancy
Job Summary
IT Services organization is seeking a Business Intelligence Engineer to join our BI team.
As a Business Intelligence Engineer with our team you will be working in a large complex and dynamic data-driven environment.
You will be responsible for developing automated metrics that provide relevant insight to organizational leaders building and maintaining dashboards and performing complex data analytics.
This position requires the candidate to develop a deep understanding of the organization and key goals earn trust with senior leadership influence without authority and provide relevant data insights.
To succeed you must have the ability to engage deeply with diverse and talented business partners earn trust using facts and data and advise and influence decisions of senior business leaders through effective verbal and written communication.
The candidate must possess excellent analytical skills project management experience and a track record of delivering results in a complex and ambiguous environment.
Key job responsibilities
Perform complex business analysis to help drive organizational decision-making.
Complete root cause analysis and provide recommendations to senior leadership to address opportunities.
Develop automated metrics that will give senior business leaders insight into the performance of their respective teams and the organization as a whole.
Develop and maintain Tableau dashboards
Develop key metrics and shared goals that determine success for a particular area.
Take on shared ownership of the weekly organizational metrics scorecard.
A day in the life
A day in the life of a BI engineer at IT Services involves building large-scale reporting solutions using tools like Tableau and QuickSight. The day typically starts with a team stand-up to align on priorities followed by deep work on developing and refining data transformation building reports and automating processes. Collaboration with data scientists analysts and stakeholders is key to ensure the delivery of right metrics. The day ends with monitoring code reviews and documenting progress all while keeping scalability efficiency and Amazons high standards for data quality in mind.
- 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
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.
As a Business Intelligence Engineer with our team you will be working in a large complex and dynamic data-driven environment.
You will be responsible for developing automated metrics that provide relevant insight to organizational leaders building and maintaining dashboards and performing complex data analytics.
This position requires the candidate to develop a deep understanding of the organization and key goals earn trust with senior leadership influence without authority and provide relevant data insights.
To succeed you must have the ability to engage deeply with diverse and talented business partners earn trust using facts and data and advise and influence decisions of senior business leaders through effective verbal and written communication.
The candidate must possess excellent analytical skills project management experience and a track record of delivering results in a complex and ambiguous environment.
Key job responsibilities
Perform complex business analysis to help drive organizational decision-making.
Complete root cause analysis and provide recommendations to senior leadership to address opportunities.
Develop automated metrics that will give senior business leaders insight into the performance of their respective teams and the organization as a whole.
Develop and maintain Tableau dashboards
Develop key metrics and shared goals that determine success for a particular area.
Take on shared ownership of the weekly organizational metrics scorecard.
A day in the life
A day in the life of a BI engineer at IT Services involves building large-scale reporting solutions using tools like Tableau and QuickSight. The day typically starts with a team stand-up to align on priorities followed by deep work on developing and refining data transformation building reports and automating processes. Collaboration with data scientists analysts and stakeholders is key to ensure the delivery of right metrics. The day ends with monitoring code reviews and documenting progress all while keeping scalability efficiency and Amazons high standards for data quality in mind.
- 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
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 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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