drjobs Business Intelligence Engineer Seller Growth Business

Business Intelligence Engineer Seller Growth Business

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1 Vacancy
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Job Location drjobs

Seattle, WA - USA

Yearly Salary drjobs

$ 89600 - 185000

Vacancy

1 Vacancy

Job Description

Do you like a strategic data role that shapes how we work with Selling Partners to ensure their ongoing growth and success in Amazons stores Do you have the ability to apply data and analytics to inform the big picture of Amazons 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 ecommerce. With access to vast amounts of data cuttingedge 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 ecommerce

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 deepdives 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 teams vision is to enable every brand from the small business with an idea to the large multinational 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 longterm sustainable growth and enable them to build great brands. We own the endtoend 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.

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
Bachelors degree or equivalent

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 largescale 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 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 $89600/year in our lowest geographic market up to $185000/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

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