Manager III, Business Intelligence, Robotics Delivery and Packaging Innovation

Key job responsibilities

• Inspire and manage a talented Business Intelligence Engineering team to achieve its goals and development potential
• Define and manage a long-term vision and portfolio of initiatives to improve the customer experience and business results through creating world-class metrics, analysis, visualizations, and data-centric storytelling
• Drive a Business Intelligence roadmap; prioritize business insight requests to balance the tactical and strategic information needs of the business
• Oversee the definition and governance of key business metrics, drive the vision and building of self-service analytic capabilities, and engineer data-informed processes that drive business value
• Connect with the Amazon community of data professionals to stay current on technology trends, data tools and techniques to improve the performance of the team
• Create and foster an environment that values and promotes an inclusive approach to problem solving and continuous learning to improve
• Apply appropriate econometric/statistical tools to business problems
• Enable quick development through project management best practices and documentation

A day in the life

• Amazon offers a full range of benefits that support you and eligible family members, including domestic partners.
• Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
• The benefits that generally apply to regular, full-time employees include:
• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan

Basic Qualifications

• 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

Preferred Qualifications

• 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