Business Intelligence Engineer III, SFS
Business Intelligence Engineer III, SFS
Posted on :
09-06-2025
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1 Vacancy
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Job Description
Amazons Marketplace services over 2 million Sellers disrupting traditional notions of retail marketplace and connecting millions of businesses big and small to millions of Customers within the marketplace. The Marketplace business exceeds 50% of the total sales and each year tens of thousands of businesses join the marketplace adding millions of new products.
The Seller Fulfillment Services (SFS) team is seeking a experienced Business Intelligence Engineer to own strong and complex analytics and to bring in comprehensive deep dives to help drive the growth of SFS Business.
The candidate should have expertise in designing and implementing scalable data warehouse infrastructure and build dynamic visualization platform and self serve tools for end-user consumption. Candidate should have solid knowledge in data engineering to develop efficiency DW pipelines given the scale of the dataset SFS is working with. Moreover the candidate should have ability in using advanced techniques for example scripting language and building statistical models to drive complex insights analysis.
Our ideal candidate thrives in a fast-paced environment enjoys the challenge of highly complex business scenarios and is passionate about data and analytics. To be successful in this role you will need to have excellent analytical data warehousing and communication skills.
Key job responsibilities
- Design implement and deploy BI solutions. You successfully solve difficult and/or loosely structured problems. You are able to refine requirements from business stakeholders into a functional design that solves the problem
- Have a solid understanding of data design approaches and analysis techniques (and how to best use them)
- Able to work independently and with your team to deliver BI solutions successfully
- Demonstrate high quality (e.g. maintainable efficient well-documented) work consistently and incorporates best practices. Your team trusts your work
- You focus on operational excellence: constructively identifying quality issues proposing solutions when necessary taking on projects that improve your teams BI solutions and making them better and easier to maintain
- You create source-of-truth datasets using SQL; you leverage scripting language i.e. Python to create automation and reduce manual processes
- 10 years of professional or military experience
- 6 years of SQL experience
- Experience programming to extract transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval data science machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing analyzing and communicating results to senior leadership
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.
The Seller Fulfillment Services (SFS) team is seeking a experienced Business Intelligence Engineer to own strong and complex analytics and to bring in comprehensive deep dives to help drive the growth of SFS Business.
The candidate should have expertise in designing and implementing scalable data warehouse infrastructure and build dynamic visualization platform and self serve tools for end-user consumption. Candidate should have solid knowledge in data engineering to develop efficiency DW pipelines given the scale of the dataset SFS is working with. Moreover the candidate should have ability in using advanced techniques for example scripting language and building statistical models to drive complex insights analysis.
Our ideal candidate thrives in a fast-paced environment enjoys the challenge of highly complex business scenarios and is passionate about data and analytics. To be successful in this role you will need to have excellent analytical data warehousing and communication skills.
Key job responsibilities
- Design implement and deploy BI solutions. You successfully solve difficult and/or loosely structured problems. You are able to refine requirements from business stakeholders into a functional design that solves the problem
- Have a solid understanding of data design approaches and analysis techniques (and how to best use them)
- Able to work independently and with your team to deliver BI solutions successfully
- Demonstrate high quality (e.g. maintainable efficient well-documented) work consistently and incorporates best practices. Your team trusts your work
- You focus on operational excellence: constructively identifying quality issues proposing solutions when necessary taking on projects that improve your teams BI solutions and making them better and easier to maintain
- You create source-of-truth datasets using SQL; you leverage scripting language i.e. Python to create automation and reduce manual processes
- 10 years of professional or military experience
- 6 years of SQL experience
- Experience programming to extract transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval data science machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing analyzing and communicating results to senior leadership
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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