Amazon Business Intel Engineer III ReLo Ops Excellence Decision Support Team 

United States, Washington, Bellevue 

548346248

The North American Reverse Logistics Programs Team is seeking an experienced Sr. Business Intelligence Engineer (BIE) to lead the development of BI solutions. You will lead the development of the ReLo Programs Team BI framework and capabilities. You will be responsible for aggregating data from existing sources as well as building and managing new pipelines and artifacts. This includes developing and distributing standard and ad-hoc reporting for various performance metrics. You will support the planning and analysis of complex projects, with the objective of identifying optimal test/pilot location sites, providing statistical evaluations (e.g., regression), and making recommendations for deployment. Additionally, you will contribute to the development and deployment of foundational structures to support a unified programs team. This includes processes and mechanisms that enable efficient, nimble, and transparent project governance, execution, and communication.
Roles and Responsibilities:
· Develop solid understanding of ReLo field operations processes, technologies, reporting, and KPIs
· Partner with stakeholders across the ReLo network support teams, tech, and field operations
· Partner with appropriate Data Engineering and Software Development teams to define the data elements and structure that the team should leverage to enable analytical capabilities as well as capture and store key data elements
· Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions
· Make recommendations for new metrics, techniques, and strategies to improve decision-making
· Collaborate with cross-functional project teams to select test/pilot sites, analyze KPI performance, and provide roll out recommendations· Develop and maintain data design documentation
Drive process efficiency and automationKey job responsibilitiesA day in the life

- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Knowledge of data warehousing and data modeling
- Experience with AWS technologies
- Experience working directly with business stakeholders to translate between data and business needs

- Master's degree in statistics, data science, or an equivalent quantitative field
- Experience managing, analyzing and communicating results to senior leadership