Advanced SQL and analytics shape AWS Storage decisions for Amazon S3, S3 Glacier, Amazon EFS, and Amazon FSx services. Build data-driven insights across complex customer workloads.

As a Senior Business Intelligence Engineer, you will own the analytical roadmap for AWS Storage services. You will define metrics, automate reporting, and investigate adoption, consumption, retention, and revenue. Your work will inform product investments and business decisions across object, archive, and file storage.

Key Responsibilities:

- Develop understanding of storage customers, workloads, usage patterns, and data
- Own reporting and analytical roadmaps for storage services
- Deliver analysis papers explaining performance and actionable opportunities




- Build scalable pipelines and models from large datasets
- Communicate findings to business, finance, product, and technical audiences

Requirements:

- 10+ years of skilled or military experience
- 5+ years of SQL experience
- Experience transforming and cleaning multi terabyte datasets
- Experience with AWS technologies and Python automation
- Experience with statistical analysis, machine learning, and data mining

Apply advanced SQL, AWS expertise, and business intelligence engineering to influence storage analytics and product decisions.

📌 Senior Business Intelligence Engineer AWS Storage (Vancouver)
🏢 Amazon.Com
📍 Vancouver