Amazon Manager Business Intelligence WW Ops Finance & OPAAT 

United States, Texas, Arlington 

208956775

You will also be expected to have excellent business and communication skills to collaborate with business owners, Product teams, and Tech leaders to gather infrastructure requirements, design data infrastructure, build reporting wireframes and integrate with Gen BI tools to meet business needs.Key job responsibilities
- Play a thought leadership role within the organization.
- Develop and support milestones across projects to ensure timely and successful deliverables.- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
- Participate in strategic and tactical planning discussions to interface with business customers, gathering requirements and delivering complete BI solutions.
- Partner with Product Managers across various organizations to develop technology vision for the organization.
- Influence the strategic direction of large products as they pertain to Business Intelligence and help define the team's BI strategy and make technical trade-offs when required.

- 7+ 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
- 3+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software

- 8+ years of quantitative and qualitative data science/business intelligence with significant business impact 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
- Knowledge of AWS Solutions for Storage, Compute, Orchestration and BI Analytics to contribute and suggest continuous improvements to the product tech infrastructure