Analytics Manager, AWS Analytics Engineering
Role Overview
Join AWS Analytics Engineering to support AWS Storage services, including Amazon S3, S3 Glacier storage classes, Amazon EFS, and Amazon FSx.
Build analytics that help leaders understand customer needs, identify growth opportunities, and guide product investments across storage services.
The source title says Analytics Manager, while the description identifies the role as a Sr. Business Intelligence Engineer and Sr. BIE.
Key Skills for This Role
Full Job Posting
Role overview
Join AWS Analytics Engineering to support AWS Storage services, including Amazon S3, S3 Glacier storage classes, Amazon EFS, and Amazon FSx.
Build analytics that help leaders understand customer needs, identify growth opportunities, and guide product investments across storage services.
The source title says Analytics Manager, while the description identifies the role as a Sr. Business Intelligence Engineer and Sr. BIE.
Key responsibilities
- Own and deliver a reporting and analytical roadmap measuring customer adoption, storage consumption, retention, revenue, and feature adoption.
- Analyze business performance and deliver data-driven papers that identify actionable opportunities for business and product leaders.
- Build scalable data pipelines and models that generate reliable metrics from large, complex datasets.
- Identify and onboard new data sources with cross-functional teams to broaden analytical coverage.
- Communicate findings to business, finance, product, and technical audiences to influence decisions and product enhancements.
- Develop and adopt agentic capabilities that automate reporting and answer analytical questions on demand.
- Mentor junior engineers and establish team analytical standards and best practices.
- Investigate adoption, usage, retention, revenue, and feature adoption across object, archive, and file storage services.
Basic qualifications
- At least 10 years of professional or military experience and 5+ years of SQL experience.
- Experience programming to extract, transform, and clean large, multi-terabyte datasets.
- Experience with experimental design and statistical analysis of results.
- Experience with AWS technologies, automation scripting such as Python, and advanced SQL.
- Experience with information retrieval, data science, machine learning, and data mining.
Preferred qualifications
- Experience working directly with business stakeholders to translate between data and business needs is preferred.
- Experience managing, analyzing, and communicating results to senior leadership is preferred.
Compensation
- The base salary range is CAD 97,400–162,600 annually for Vancouver, British Columbia.
- Total compensation may include sign-on payments and restricted stock units; final compensation depends on experience, qualifications, and location.
Benefits
- Benefits include health insurance, RRSP, DPSP, paid time off, and other health and well-being resources.
About AWS
Amazon states it is an equal opportunity employer and provides information about workplace accommodations during hiring and onboarding.
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