Business Intelligence Engineer, Seller Growth Business

Do you like a strategic data role that shapes how we work with Selling Partners to ensure their ongoing growth and success in Amazon’s stores? Do you have the ability to apply data and analytics to inform the big picture of Amazon’s business, going into details with data and exercising business acumen and strong product sense?

Join us at the Selling Partner Growth team that is redefining the future of e-commerce. With access to vast amounts of data, cutting-edge technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way Selling Partners engage with our platform and customers worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce

Key job responsibilities
Be a thought leader: Interface with business partners, architect, design, implement, and support BI projects & tools that derive insights and shape important, worldwide business decisions.

Dive Deep, Raise the bar and insist on high standards: Recognize and adopt best practices in analysis and reporting, data integrity, test design, analysis, validation, and documentation. Support your leadership team with deep-dives and insights that improve our performance and productivity, so we can serve our customers even better.

Deliver Results: Be inspired by the motto of Customer First, use outstanding business acumen, technical and analytical skills to drive real, actionable results.

About the team
The Selling Partner Growth team’s vision is to enable every brand - from the small business with an idea, to the large, multi-national corporation - to be able to thrive and grow into a global selling success. We achieve this by empower selling partners with scalable experiences, programs, and services that accelerate their flywheel of long-term sustainable growth and enable them to build great brands. We “own” the end-to-end growth and brand building experience across Amazon and obsess over helping selling partners innovate new selection, drive traffic, deliver great CX, and lower their cost structure. We are thoughtful about where we build vs where we partner to drive greater scale and impact.

Basic Qualifications

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelor's degree or equivalent

Preferred Qualifications

- 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

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $89,600/year in our lowest geographic market up to $185,000/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.