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Amazon

Business Intelligence Engineer III, Talent Acquisition Analytics

Vancouver, BC, Canada

Job type: Full-time
Apply by: Oct 22, 2026
Posting language: English
Posted: Sep 22, 2026

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Applications open in a new tab.

Original job description

Description

As a Business Intelligence Engineer, this is your opportunity to be at the intersection of data, analysis, hiring, and strategy that will make it possible for our teams to fulfill that customer promise every day.

In this role, you will own data analytics projects from beginning to end, and will build reports, compile metrics, and own ad hoc and trend analysis. You will utilize business intelligence tools to analyze data and drive key recommendations. You will work with Talent Acquisition leadership to achieve business objectives and communicate insights to key stakeholders. You will recognize and adopt best practices in reporting and analysis, including data integrity, analysis, validation, and documentation; and drive results in a fast-paced, ambiguous environment.

You will provide analytical support for various Talent Acquisition programs, and build tools to surface timely, meaningful, and actionable data that will drive proactive decision making. Your analysis will contribute deeply to the development of our strategy and drive impact against our hiring objectives. You will collaborate with subject matter experts across Amazon to work through complex problems and to create unified scalable reporting solutions at an enterprise-wide level. You will have the opportunity to partner with the central HR Information Systems teams as an influencer on their next generation road map.

Key job responsibilities

Collaborate with recruiting operations, data scientists, and business leaders to define business processes and provide analytical support
Leverage code to analyze complex datasets and design, develop and evaluate data transformations to solve specific business problems
Build scalable, efficient, and automated data processes to facilitate customer-facing reporting
Automate TA processes to streamline business operations
Communicate verbally or in writing to business customers / leadership for sharing insights and recommendations
Build dashboards and reports for both recruiting leaders and the businesses they support
Perform complex data analysis across multiple systems to support both scheduled and ad-hoc reporting requests
Mine key performance indicators to discover root causes
Analyze business outcome data in order to identify relationships and trends; incorporate data visualization and statistical analyses

About The Team

Amazon delights millions of customers around the world, and the Talent Acquisition team enables our business leaders to make informed and effective hiring decisions.

Basic Qualifications

5+ years of professional or military experience
5+ years of SQL experience
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with AWS technologies

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

Company - Amazon Canada Fulfillment Services, ULC

Job ID: A10557002

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More about this job

Responsibilities

You will own end-to-end data analytics projects to support Talent Acquisition strategy and build scalable, automated reporting solutions. You will collaborate with cross-functional teams to analyze complex datasets, identify trends, and provide actionable insights to leadership.

Requirements

The role requires at least 5 years of professional experience, including advanced SQL skills and experience with scripting for automation such as Python. Candidates should also have a strong background in statistical analysis and experience working with AWS technologies.

Skills

SQL
Python
Data analysis
Business intelligence
Data visualization
Statistical analysis
Automation
Reporting
Data transformation
Talent acquisition analytics
Stakeholder management
Process improvement
AWS technologies
Design of experiments
Metrics development

Benefits

Health insurance
Medical insurance
Dental insurance
Vision insurance
Prescription insurance
Basic life insurance
AD&D insurance
Deferred profit sharing plan
Paid time off
Restricted stock units

Visa sponsorship

Not detected in the job text

Keywords

Business Intelligence
Talent Acquisition
SQL
Python
AWS
Data Analytics
Automation
Reporting
Dashboards
Statistical Analysis
Design Of Experiments
Data Transformation
Key Performance Indicators
Data Visualization
HR Information Systems
Recruiting Operations
Data Integrity
Strategy Development
Stakeholder Communication
Root Cause Analysis

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