BI Manager: Lead Data Lakehouse & Analytics

Amazon; Bellevue (WA); Sur place; USD 143 000 - 194 000; Plein temps

Avantages offerts par ce poste

Health insurance

RSUs

401(k)

Résumé du poste

Amazon is seeking a Business Intelligence Manager III to lead the modernization of analytics for Global Customer Fulfillment Finance. You will drive data strategy, manage a high-performing team, and partner across engineering, product, and Finance leadership to deliver scalable, agent-focused analytics.

You will shepherd the transition to data lakehouse architectures, improve data accessibility for 2,400+ users, and champion innovative technologies to accelerate insight generation while

Qualifications

• 5+ years of data warehouse architectures, data modeling, ETL/ELT, and reporting/analytic tools experience.
• 3+ years of delivering results managing a BI or analytics team.
• Experience translating business needs into data solutions.
• Experience guiding BI strategy and roadmaps.
• Experience with statistical/machine learning software (R, Python, SAS, etc.).

Responsabilités

• Lead the 3-Year Data Modernization strategy to move to a data lakehouse architecture.
• Own end-to-end data delivery experience for Finance customers with global users.
• Champion automation and agentic analytics in data workflows.
• Build and develop a high-performing engineering team.
• Foster cross-functional partnerships to align roadmaps and delivery.

Connaissances

Data warehousing

SQL

BI leadership

Stakeholder management

R & Python

Outils

Redshift

Teradata

Spark

Hadoop

Description du poste

Amazon is seeking a Business Intelligence Manager III to lead the modernization of analytics for Global Customer Fulfillment Finance. You will drive data strategy, manage a high-performing team, and partner across engineering, product, and Finance leadership to deliver scalable, agent-focused analytics.

You will shepherd the transition to data lakehouse architectures, improve data accessibility for 2,400+ users, and champion innovative technologies to accelerate insight generation while