Business Intelligence Engineer Internal Audit - Data Analytics Support
Business Intelligence Engineer Internal Audit - Data Analytics Support
Posted on :
18-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 74100 - 165600
Vacancy
1 Vacancy
Posted on :
18-04-2025
Job Description
Internal Audits mission is to help our businesses improve controllership operational efficiency and customer experience. Amazon is seeking a Business Intelligence Engineer for our Internal Audit Data Analytics team that provides data analytics services and solutions to enable our audit programs to scale with Amazons growth and complexity. This is a highly visible opportunity to provide custombuild solutions and services that will increase the productivity of Amazons audit function using data. This position requires that the candidate selected be a US citizen.
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.
Develop analyses & tools that will enable deeper analysis while increasing efficiency and effectiveness by reducing manual intervention while increasing sample sizes tested.
A day in the life
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. You will also leverage machine learning and statistical techniques for advanced use cases.
Experience with SQL including class projects personal projects research prior internships or volunteer work
Experience with scripting language (e.g. Python Java or R)
Experience applying basic statistical methods (e.g. regression) to difficult business problems
Experience building and maintaining basic data artifacts (e.g. ETL data models queries)
Experience with one or more analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI)
Bachelors degree or Masters degree
Knowledge of data modeling and data pipeline design
Experience with statistical analysis corelation analysis
Experience gathering business requirements using industry standard business intelligence tool(s) to extract data formulate metrics and build reports
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 $74100/year in our lowest geographic market up to $165600/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.
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.
Develop analyses & tools that will enable deeper analysis while increasing efficiency and effectiveness by reducing manual intervention while increasing sample sizes tested.
A day in the life
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. You will also leverage machine learning and statistical techniques for advanced use cases.
Experience with SQL including class projects personal projects research prior internships or volunteer work
Experience with scripting language (e.g. Python Java or R)
Experience applying basic statistical methods (e.g. regression) to difficult business problems
Experience building and maintaining basic data artifacts (e.g. ETL data models queries)
Experience with one or more analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI)
Bachelors degree or Masters degree
Knowledge of data modeling and data pipeline design
Experience with statistical analysis corelation analysis
Experience gathering business requirements using industry standard business intelligence tool(s) to extract data formulate metrics and build reports
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 $74100/year in our lowest geographic market up to $165600/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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