Analytics Manager, AWS Analytics Engineering

Amazon is hiring an Analytics Manager, AWS Analytics Engineering in Vancouver, Canada. It pays CAD 97k-CAD 163k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.
The role was posted in the last few days.

AI in this role

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.

Basic qualifications

- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

CAN, BC, Vancouver - 97,400.00 - 162,600.00 CAD annually

How we rate this

Analytics Manager, AWS Analytics Engineering at Amazon rates 17 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.