Business Intelligence Engineer, AWS Infrastructure Central Finance
Business Intelligence Engineer, AWS Infrastructure Central Finance
Posted on :
25-06-2025
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1 Vacancy
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Job Description
Amazon Web Services is seeking a Senior Business Intelligence Engineer for Infrastructure central finance (ICF) team. As an Amazon Senior Business Intelligence Engineer you will solve unique and complex problems at a rapid pace utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences youll be creating for our customers.
Key job responsibilities
You will utilize your deep expertise in business analysis metrics reporting and analytic tools/languages like SQL Excel and others to translate data into meaningful insights through collaboration with finance software engineers data engineers and business analysts.
You will have end-to-end ownership of operational financial and technical aspects of the insights you are building for the business and will play an integral role in strategic decision-making.
Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership
Produce written recommendations and insights that will help shape effective metric development and reporting for key stakeholders
Simplify and automate reporting audits and other data-driven activities; build solutions to have maxi-mum scale and self-service ability by stakeholders
Partner with Engineering teams to enhance data infrastructure data availability and broad access to customer insights
To develop and drive best practices in reporting and analysis: data integrity test design analysis vali-dation and documentation
Learn new technology and techniques to meaningfully support product and process innovation
- 7 years of professional experience
- 5 years of SQL experience
- Proficient in theories experimental design and statistical a concept for deriving insights form large scale data analysis
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Ability to operate successfully and independently in a fast-paced environment.
- Comfort with ambiguity and eagerness to learn new skills.
- Bachelors degree in Statistics Economics Math Finance Engineering Computer Science Information Sys-tems or a related quantitative field.
- Experience managing analyzing and communicating results to senior leadership
- Experience in working directly with business stakeholders to translate between data and business needs
- 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 managing analyzing and communicating results to senior leadership
- Experience programming to extract transform and clean large (multi-TB) data sets
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 $117300/year in our lowest geographic market up to $202800/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
You will utilize your deep expertise in business analysis metrics reporting and analytic tools/languages like SQL Excel and others to translate data into meaningful insights through collaboration with finance software engineers data engineers and business analysts.
You will have end-to-end ownership of operational financial and technical aspects of the insights you are building for the business and will play an integral role in strategic decision-making.
Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership
Produce written recommendations and insights that will help shape effective metric development and reporting for key stakeholders
Simplify and automate reporting audits and other data-driven activities; build solutions to have maxi-mum scale and self-service ability by stakeholders
Partner with Engineering teams to enhance data infrastructure data availability and broad access to customer insights
To develop and drive best practices in reporting and analysis: data integrity test design analysis vali-dation and documentation
Learn new technology and techniques to meaningfully support product and process innovation
- 7 years of professional experience
- 5 years of SQL experience
- Proficient in theories experimental design and statistical a concept for deriving insights form large scale data analysis
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Ability to operate successfully and independently in a fast-paced environment.
- Comfort with ambiguity and eagerness to learn new skills.
- Bachelors degree in Statistics Economics Math Finance Engineering Computer Science Information Sys-tems or a related quantitative field.
- Experience managing analyzing and communicating results to senior leadership
- Experience in working directly with business stakeholders to translate between data and business needs
- 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 managing analyzing and communicating results to senior leadership
- Experience programming to extract transform and clean large (multi-TB) data sets
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 $117300/year in our lowest geographic market up to $202800/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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