Analytics Manager, AWS Analytics Engineering
Posted Updated
Description
AWS is looking for a Sr. Business Intelligence Engineer to join the AWS Analytics Engineering (AAE) team supporting AWS Storage services, including Amazon S3, S3 Glacier storage classes, and file storage services such as Amazon EFS and Amazon FSx. These services help customers store, protect, and access data for applications, analytics, backup, archiving, and AI workloads. In this role, you will build analytics that help leaders understand customer needs, identify growth opportunities, and guide product investments across the storage portfolio.
As a Sr. BIE on this team, you will own an analytical roadmap supporting AWS Storage services, from defining business questions and metrics to delivering analysis and automated reporting. You will investigate the drivers of customer adoption, storage consumption, retention, and revenue, translating your findings into recommendations that influence business and product decisions. You will work with large, complex datasets spanning service usage, billing, and customer behavior, developing and testing hypotheses to explain business performance. You will partner closely with product, business, finance, and engineering leaders to tackle ambiguous problems, evaluate feature adoption, and understand how customer workloads evolve across object, archive, and file storage.
Beyond building analytics for AWS Storage, this team is reimagining how analytical work itself gets done. We are developing agentic capabilities that automate and accelerate the daily work of a business intelligence engineer, from building reports to answering analytical questions on demand. As a Sr. BIE, you will help shape and adopt these capabilities, applying them to scale your impact and informing how they evolve. You will combine storage domain expertise with new approaches to automation to improve the speed and quality of analytical work.
Key job responsibilities
Develop a deep understanding of the business drivers, customer workloads, usage patterns, and data landscape for AWS Storage services.
Own and deliver a reporting and analytical roadmap that measures customer adoption, storage consumption, retention, revenue, and feature adoption.
Deliver in-depth, data-driven analysis papers that explain business performance and identify actionable opportunities for business and product leaders.
Design and build scalable data pipelines and models that produce reliable business metrics from large, complex datasets.
Collaborate with cross-functional teams to identify and onboard new data sources that expand analytical coverage across storage services and customer workloads.
Communicate findings clearly to business, finance, product, and technical audiences to influence decisions and product enhancements.
Build and adopt agentic capabilities that automate and accelerate analytical work, from report generation to answering analytical questions on demand.
Mentor junior engineers and establish analytical standards and best practices for the team.
As a Sr. BIE on this team, you will own an analytical roadmap supporting AWS Storage services, from defining business questions and metrics to delivering analysis and automated reporting. You will investigate the drivers of customer adoption, storage consumption, retention, and revenue, translating your findings into recommendations that influence business and product decisions. You will work with large, complex datasets spanning service usage, billing, and customer behavior, developing and testing hypotheses to explain business performance. You will partner closely with product, business, finance, and engineering leaders to tackle ambiguous problems, evaluate feature adoption, and understand how customer workloads evolve across object, archive, and file storage.
Beyond building analytics for AWS Storage, this team is reimagining how analytical work itself gets done. We are developing agentic capabilities that automate and accelerate the daily work of a business intelligence engineer, from building reports to answering analytical questions on demand. As a Sr. BIE, you will help shape and adopt these capabilities, applying them to scale your impact and informing how they evolve. You will combine storage domain expertise with new approaches to automation to improve the speed and quality of analytical work.
Key job responsibilities
Develop a deep understanding of the business drivers, customer workloads, usage patterns, and data landscape for AWS Storage services.
Own and deliver a reporting and analytical roadmap that measures customer adoption, storage consumption, retention, revenue, and feature adoption.
Deliver in-depth, data-driven analysis papers that explain business performance and identify actionable opportunities for business and product leaders.
Design and build scalable data pipelines and models that produce reliable business metrics from large, complex datasets.
Collaborate with cross-functional teams to identify and onboard new data sources that expand analytical coverage across storage services and customer workloads.
Communicate findings clearly to business, finance, product, and technical audiences to influence decisions and product enhancements.
Build and adopt agentic capabilities that automate and accelerate analytical work, from report generation to answering analytical questions on demand.
Mentor junior engineers and establish analytical standards and best practices for the team.
