Amazon Business Intelligence Engineer Amazon Ads Product Technology - Creative X 

United States, New York, New York 

978452302

Key job responsibilities
* Partner with Product team to understand the business requirements and implement solutions to support product plans.
* Design, develop and maintain scalable, automated, user-friendly systems, reports, and dashboards enabling stakeholders to manage the business and make effective decisions.
* Implement training and documentation solutions that enables stakeholders to get the most out of our self-serve analytics tools.
* Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.
* Defining, developing and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis
* Analysis of historical data to extract meaningful insights from large and complex data sets to identify trends and support decision making, including written and verbal presentation of results and recommendations
* Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning models* Conduct ad hoc data analysis and data quality investigations.
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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Excellent written and verbal communication with technical and non-technical stakeholders;
PREFERRED 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Excellent written and verbal communication with technical and non-technical stakeholders