Business Intelligence Solutions Expert

20 hours ago


Seattle, Washington, United States Amazon Full time
The Device, Digital & Alexa Support (D2AS) team at Amazon is seeking a skilled Business Intelligence Engineer to join our Product Analytics team. As a Business Intelligence Engineer, you will be responsible for developing and maintaining data-driven solutions to support customer-facing CS products. This role combines technical skills with business insight, requiring you to use your experience in Business Intelligence (BI) to help us make smart, data-driven decisions. Your work will directly impact our ability to serve customers better and grow our business.

Some of the key responsibilities of this role include:

- Engaging closely with Engineers, Scientists, and Data Engineers on developing BI/analytics solutions to support customer-facing CS products.
- Supporting A/B experiment feature testing and analysis.
- Building and analyzing key metrics to uncover trends and root causes of issues.
- Owning the design, development, and maintenance of ongoing data pipelines, metrics, reports, visualizations, analyses, dashboards, etc. to drive business decisions.

As a member of our team, you will have the opportunity to work on a variety of projects and contribute to the development of innovative solutions. You will also have the chance to collaborate with cross-functional teams, including Engineering, Science, and Product Teams, to foster an innovative learning environment. If you are passionate about data analysis and business intelligence, and want to make an impact on a global scale, please consider joining our team.

About Amazon

At Amazon, we use data analytics to understand and serve our customers better. Our goal is to anticipate and solve customer issues before they arise, using device and digital service data to identify pain points and improve our products daily.


Requirements

To be successful in this role, you will need to have:

  • 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.

Preferred Qualifications

AWS solutions such as EC2, DynamoDB, S3, and Redshift experience is preferred. Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets is also desired.



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