Business Intelligence Manager, Global Selling
5 days ago
Key job responsibilities
- Lead a team of Business Intelligence Engineers to build scalable data solutions and analytical frameworks
- Develop BI solutions based on the business requirement through the understanding of business and this role's technical skills (SQL & Python)
- Create and drive strategic initiatives that enable data-driven decision making across the organization.
- Drive operational excellence in data engineering practices and establish best practices for the organization.
- Create scalable, long-term mechanisms for data quality and governance.
- Partners with cross-functional teams to identify and resolve seller experience friction points.
About the team
The Amazon Global Selling Analytics, Intelligence, and Technology (AGS-AIT) team serves as the research, automation, and insight arm of the International Seller Service data hub, enabling rapid delivery of growth insights through strategic investments in regional data foundations, self-service business intelligence solutions, and artificial intelligence tools.
The AGS-AIT team is positioned to establish AI-ready foundational capabilities across the AGS organization while maintaining excellence in business insight generation, and self-service BI/AI application development.
AGS-AIT is looking for a Business Intelligence Manager to collaborate with cross-functional teams to design and develop data infrastructure and analytics capabilities for AGS AI and Automation initiatives.
Basic Qualifications:
- 10+ 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 R, Python, Weka, SAS, Matlab or other statistical/machine learning software
Preferred Qualifications:
- 4+ years of working with very large data warehousing environment 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
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