Amazon Business Intelligence Manager Global Risk 

United States, Texas, Arlington 

984901274

Our environment is deadline driven and fast paced and therefore requires detail-oriented individuals comfortable interacting or working with multiple teams (business and technical). As you further your career as a Business Intelligence Manager, you will focus on improving corporate reporting frameworks and data visualization. You will build capacity solutions for the growing managed businesses. You will solve real world problems and build metrics and business cases to improve decision making.
Key job responsibilities
* Centralize reporting and synthesize insights to deliver predictive insights and recommendations for optimization.
* Build solutions and drive strategies for organizational wide operational excellence and operational programs to evolve day to day reporting mechanisms* Work with software developers / data engineers to improve data quality and drive operational excellence for data ingestion, transformation and publication to ensure confidence in the systems we build.
* Champion and actively develop a data-centric approach, acting as coach, mentor, champion and in-house expert within the WFI team
* Be a “do-er” as well as a leader

- 7+ years of business intelligence and analytics experience
- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
- 5+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
- Experience with ETL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software
- 3+ years of quantitative and qualitative data science/business intelligence with significant business impact experience

- 4+ years of working with very large data warehousing environment experience
- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience