Business Intelligence Engineer, Internal Audit - Data Analytics Support
Business Intelligence Engineer, Internal Audit - Data Analytics Support
Posted on :
13-07-2025
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1 Vacancy
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Job Description
As a Business Intelligence Engineer you will work on audit engagements to help with data analytics in various audit phases provide training to auditors on data analytics tools and technology set up data infrastructure for working with data and create dashboards. You will work closely with Amazon businesses and functions to assess audit requirements for data analytics. You will have a relentless focus on the customers and dive deep into the challenges they face. Youll also leverage machine learning and statistical techniques for advanced use cases. In this role you will have impact by using your data analysis talents to:
Key job responsibilities
Operate in a consultative capacity analyze the functions objectives and requirements of organizations within the company and translate business requirements into technical requirements.
Identify and substantiate risks associated with business processes policy organization procedures and systems using data analysis and recommend remediation steps that reinforce business assurance.
Seek out the correct data sources required and using ETL (Extract Transform and Load) methods to join manipulate and normalize the data into a consumable data set for testing and analysis.
Determine the appropriate method of data collection and research methodology analyze and interpret results into actionable testing solutions which are summarized for audit findings.
Advise auditors business stakeholders and senior management on results and impact of the results surfaced from testing.
Conduct periodic trainings for Auditors on Data Analytics methods and tools that will enable deeper analysis while increasing efficiency and effectiveness by reducing manual intervention while increasing sample sizes tested.
Maintain existing infrastructure needed for ongoing testing and looks for optimization opportunities to improve or enhance existing infrastructure.
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
- Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience with data modeling warehousing and building ETL pipelines
- Experience writing complex SQL queries
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
Operate in a consultative capacity analyze the functions objectives and requirements of organizations within the company and translate business requirements into technical requirements.
Identify and substantiate risks associated with business processes policy organization procedures and systems using data analysis and recommend remediation steps that reinforce business assurance.
Seek out the correct data sources required and using ETL (Extract Transform and Load) methods to join manipulate and normalize the data into a consumable data set for testing and analysis.
Determine the appropriate method of data collection and research methodology analyze and interpret results into actionable testing solutions which are summarized for audit findings.
Advise auditors business stakeholders and senior management on results and impact of the results surfaced from testing.
Conduct periodic trainings for Auditors on Data Analytics methods and tools that will enable deeper analysis while increasing efficiency and effectiveness by reducing manual intervention while increasing sample sizes tested.
Maintain existing infrastructure needed for ongoing testing and looks for optimization opportunities to improve or enhance existing infrastructure.
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
- Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience with data modeling warehousing and building ETL pipelines
- Experience writing complex SQL queries
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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