Business Intelligence Engineer II, SFS
Amazon.com
Amazon’s 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 Amazon.com marketplace. The Marketplace business exceeds 50% of the total Amazon.com 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 team’s 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
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 team’s 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
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