Amazon Business Intelligence Manager QuBIT 

United States, Washington, Bellevue 

734714981

As the QuBIT BI team leader, you will manage a team of Business Intelligence Engineers and Data Engineers who will build scalable reporting and analytics solutions, implement automation initiatives, and own key business metrics. The role involves standardizing reporting frameworks to transform raw data into actionable insights while partnering with senior leaders and PMs to influence strategic decisions. You'll develop and prioritize project roadmaps as your team creates complex analytics solutions at scale with a focus on operational excellence. You'll engage with leadership across all organizational levels, from fulfillment centers to corporate offices, to drive data-informed decision making throughout the network.Key job responsibilities4. BI & Reporting Solutions: Design, implement, and support automated dashboards, reports, and self-service BI tools to democratize data across teams.
5. Data Quality & Governance: Ensure data integrity, accuracy, and consistency in all reporting and analytics frameworks.
6. Process Optimization: Drive automation and operational efficiencies in reporting pipelines, eliminating manual processes where possible.
7. Deep-Dive Analytics: Conduct deep dives into large, complex datasets to identify trends, diagnose problems, and uncover opportunities for process improvement.
10. Data-Driven Decision Making: Leverage data and statistical analysis to drive recommendations that improve customer experience and operational efficiency.

- 5+ 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
- Experience with SQL
- 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

- 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