Amazon Business Intel Engineer Automated Profitability Management 

United States, Washington, Seattle 

571486792

Key job responsibilities
• Design, develop and maintain scaled, automated, user-friendly systems, reports, and dashboards enabling stakeholders to manage the business and make effective decisions.
• Work with Product Managers in understanding the business requirements and implementing solutions to support product plans.
• Conduct ad hoc data analysis and data quality investigations.
• 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
• Understanding of Amazon’s data resources, which to use, how, and whenA day in the life
- You will work with Product managers, Data Engineers and SDEs to develop a deep understanding of the business and data.
- You will effectively communicate actionable insights with different levels of leadership.
- You will maintain a high operational bar for data, job and reports.

- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Knowledge of SQL and data warehousing concepts
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience