drjobs Business Intelligence Engineer, Fee Strategy, WW Revenue Strategy

Business Intelligence Engineer, Fee Strategy, WW Revenue Strategy

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1 Vacancy
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Job Location drjobs

Seattle - USA

Yearly Salary drjobs

$ 89600 - 185000

Vacancy

1 Vacancy

Job Description

The Fee Strategy team is looking for an exceptional Business Intelligence Engineer to drive data analysis and insights to help develop our fee strategies and products that support the global Selling businesses. In this role you will leverage your SQL skills to construct and implement data pipeline to collect data clean/organize data to get it ready for analysis and perform structured analysis to glean insights that will identify areas of opportunity. This will directly influence actionable business decisions regarding our fee proposals and products for current business and influence strategies for the launch of new businesses. You should be self-starter who is proficient in SQL data structuring and business analysis have an extremely high level of customer focus have a passion for strategy and analysis and love mining large and complex datasets.

As you further your career as a business intelligence engineer in Seller Fee Strategy you will focus on instrumenting automation of metrics that measure customer experience and identify emerging trends teams need to focus on helping us refine fee proposals and products as well as the way we think about fee strategy. We are focused on your success and want to build strong leaders. You can expect to leverage your data skills and have full ownership of the projects you work on.


Key job responsibilities
Build and maintain recurring metrics and reports across global Selling businesses
Complete ad hoc data retrieval and analysis using relational databases Excel and other data management systems
Develop new metrics product for historic and business lifecycle analysis
Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions
Support cross-functional teams on the day-to-day execution of projects and initiatives
Help develop requirements and specifications with business and development teams
Effectively communicate insights to key stakeholders through both written and verbal communication

- 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

- 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 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 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

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