Amazon Business Intelligence Manager Amazon Key 

United States, Washington, Seattle 

464821875

Key Job Responsibilities:
• Team Leadership: Hire, develop, and lead a team of Business Intelligence Engineers (BIEs), Data Engineers (DEs), and Business/Data Analysts.
• Stakeholder Collaboration: Engage with senior leadership and cross-functional teams to understand data needs and provide scalable BI solutions.
• Data Strategy & Metrics: Define, track, and maintain key business metrics to monitor operational performance and drive business decisions.
• BI & Reporting Solutions: Design, implement, and support automated dashboards, reports, and self-service BI tools to democratize data across teams.
• Data Quality & Governance: Ensure data integrity, accuracy, and consistency in all reporting and analytics frameworks.
• Process Optimization: Drive automation and operational efficiencies in reporting pipelines, eliminating manual processes where possible.
• Deep-Dive Analytics: Conduct deep dives into large, complex datasets to identify trends, diagnose problems, and uncover opportunities for process improvement.
• Technical Collaboration: Partner with Data Engineering, Hardware, and Software Development teams to enable better data capture, integration, and storage solutions.
• Business Reviews: Own reporting for Monthly Business Reviews (MBR), Quarterly Business Reviews (QBR), and Weekly Business Reports (WBR).
• Data-Driven Decision Making: Leverage data and statistical analysis to drive recommendations that improve customer experience and operational efficiency.Preferred Qualifications:
• Experience leading BI & analytics teams in a fast-paced, high-growth environment.
• Strong knowledge of SQL, data modeling, ETL pipelines, and business intelligence tools (e.g., Tableau, QuickSight, Power BI).
• Experience with big data technologies (e.g., Redshift, Spark, Athena, Snowflake) is a plus.
• Strong communication and stakeholder management skills, with the ability to influence leadership decisions through data.
• Passion for building scalable BI solutions that empower non-technical users to make data-driven decisions.

- 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
- 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