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Business Intelligence Engineer, Fee Strategy, WW Revenue Strategy
Amazon
Seattle (WA)
On-site
USD 89,000 - 185,000
Full time
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Job summary
Amazon is seeking a Business Intelligence Engineer to drive data analysis for fee strategy development across global Selling businesses. The role focuses on constructing data pipelines, conducting thorough analyses to generate insights, and improving customer experience through data-driven recommendations and strategic metrics automation.
Qualifications
- 3+ years of experience in data analysis and interpretation.
- Proficient in SQL and database management.
- Strong background in data visualization tools like Tableau.
Responsibilities
- Build and maintain metrics and reports for global Selling businesses.
- Perform ad-hoc data retrieval and analysis.
- Design reporting solutions for effective business decision-making.
Skills
Education
Tools
Job description
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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.
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
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.
Company - Amazon.com Services LLC
Job ID: A2993170
- Seniority levelNot Applicable
- Employment typeFull-time
- Job functionStrategy/Planning, Analyst, and Information Technology
- IndustriesSoftware Development
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