Analytics Manager, AWS Analytics Engineering
Role Overview
Join AWS Analytics Engineering supporting 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 the storage portfolio.
Help develop and adopt agentic capabilities that automate and accelerate business intelligence work.
Key Skills for This Role
Full Job Posting
Role overview
Join AWS Analytics Engineering supporting 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 the storage portfolio.
Help develop and adopt agentic capabilities that automate and accelerate business intelligence work.
Key responsibilities
- Develop understanding of AWS Storage business drivers, customer workloads, usage patterns, and data landscape.
- Own a reporting and analytics roadmap measuring adoption, storage consumption, retention, revenue, and feature adoption.
- Deliver analysis papers explaining business performance and identifying actionable opportunities for business and product leaders.
- Design and build scalable data pipelines and models for reliable metrics from large, complex datasets.
- Identify and onboard data sources to expand analytical coverage across storage services and customer workloads.
- Communicate findings to business, finance, product, and technical audiences to influence decisions and product enhancements.
- Build and adopt agentic capabilities for report generation and answering analytical questions on demand.
- Mentor junior engineers and establish analytical standards and best practices.
- Investigate customer adoption, storage consumption, retention, and revenue; translate findings into recommendations.
- Partner with product, business, finance, and engineering leaders to evaluate feature adoption and customer workload changes.
Basic qualifications
- 10 or more years of professional or military experience.
- 5 or more 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.
- Experience with 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.
- Experience managing, analyzing, and communicating results to senior leadership.
Compensation
- The listed base salary range is CAD 97,400 to CAD 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 include health insurance, RRSP, DPSP, paid time off, and other wellbeing resources.
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