Amazon Business Intelligence Engineer Amazon Publisher Monetization Analytics 

United States, Washington, Seattle 

775040310

Driving long-term growth for our ad supported media service requires striking a balance between providing an experience customers will love and creating products that advertisers want to buy (brand safe, relevant audience, etc.). In this role, you will partner closely with product managers, business stakeholders, data engineers and software engineers to generate usable metrics to support high judgment decisions. You will go beyond report generation and invest in automation to scale the analytics needs for all business and technical stakeholders. You will be exposed to a wide range of technologies, systems, and business challenges. This is Day 1 for this team so you will be joining an entrepreneurial and pioneering team that is building from scratch.
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.

- 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