Amazon Business Intel Engineer II Litigation & Regulatory 

United States, Texas, Arlington 

109953747

As a Business Intelligence Engineer you will build new business intelligence solutions end-to-end, with opportunities to utilize data and develop new ways to answer a wide variety of questions. You will work with multiple stakeholders within and outside Amazon Legal to integrate data sources and create data infrastructures that will support advanced statistical and ML models. The successful candidate will be a self-starter comfortable with ambiguity, have a strong attention to detail, an ability to work in a fast-paced environment, and be driven by a desire to innovate in this space.Key job responsibilities
• Interface with teams across Amazon to identify and analyze the right source of data to respond to a variety of high-impact issues and requests.• Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.• Write high quality code to retrieve and analyze data.• Design, implement, and support a scalable and reliable infrastructure for Data Warehousing, BI, and Analysis using scalable and optimized techniques.• Model data and metadata to support a variety of requests in litigation and regulatory matters.• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to raise the bar on analytics within legal.• Recognize and adopt best practices in reporting and analysis for data integrity, test design, analysis, validation, and documentation.• Continually improve ongoing reporting and analysis processes, automating, or creating self-service options.• Synthesize and translate complex findings into relevant and actionable insights.

- 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