Business Intelligence Engineer, Forecasting & Labs Analytics

Amazon Development Centre Canada ULC; Toronto; On-site; CAD 76,000 - 128,000; Full time

Benefits offered by this job

Health insurance

RRSP

DPSP

Paid time off

Job summary

Amazon Development Centre Canada ULC in Toronto seeks a Business Intelligence Engineer, Forecasting & Labs Analytics to own data-driven forecasting across millions of products. You’ll work with AWS Redshift and Tableau, partnering with Data Engineering, Data Science, and Program teams to detect, diagnose, and correct forecast problems.

You’ll also develop reporting mechanisms and surface insights to help retail customers and downstream systems make better supply chain decisions.

Qualifications

• 3+ years of data analysis experience
• Data modeling, warehousing, and ETL pipeline development
• Data visualization using Tableau, QuickSight, or similar tools
• Complex SQL query writing
• Statistical Analysis packages such as R, SAS or Matlab
• Python scripting to pull and process data for modeling

Responsibilities

• Identify and analyze opportunities to improve forecast accuracy by detecting, diagnosing, and correcting forecast problems
• Partner with PMs, Science, and Engineering to design solutions to complex forecasting challenges
• Develop innovative solutions with machine learning and research scientists to address forecasting challenges for new Amazon businesses
• Generate metrics and insights that help retail customers and downstream supply chain systems optimize decisions
• Build reporting mechanisms for both internal and external teams
• Communicate and earn trust with customers in retail and downstream systems

Skills

Data analysis

SQL-based analysis

Data modeling

ETL pipelines

Data visualization

Python

AWS services

Stakeholder communication

Tools

Tableau

Redshift

Oracle

NoSQL

SAS

Python

QuickSight

EC2

DynamoDB

S3

Job description

Business Intelligence Engineer, Forecasting & Labs Analytics at Amazon in Toronto, ON is a full-time role paying $76,400–$127,600 CAD annually. The position sits within Amazon's supply chain operations, specifically on the team responsible for demand forecasting across tens of millions of products. These forecasts drive inventory ordering, placement decisions, and labour planning for hundreds of warehouses.

Day to day, you'll work with rich datasets and tools including AWS Redshift and Tableau, partnering with Data Engineering, Data Science, and Program teams to detect, diagnose, and correct forecast problems. You'll also develop reporting mechanisms and surface insights that help retail customers and downstream systems make better supply chain decisions.

About the Role: Business Intelligence Engineer, Forecasting & Labs Analytics

The work spans identifying where forecast accuracy can improve, designing solutions with product managers, scientists, and engineers, and generating the metrics those partners rely on. You'll collaborate directly with machine learning and research scientists on forecasting challenges for new businesses, and communicate findings to customers in retail and downstream systems.

Earning trust with internal and external customers is a named part of the role. You'll build and maintain reporting mechanisms that serve both audiences, which means your outputs need to be clear and reliable for non-technical stakeholders as well as engineering partners.

Benefits and Salary

The base salary range for this position in Toronto is $76,400–$127,600 CAD annually. Amazon states that total compensation may also include sign-on payments and restricted stock units (RSUs), with final amounts determined by experience, qualifications, and location.

The benefits package includes health insurance (medical, dental, vision, prescription, basic life and AD&D), a Registered Retirement Savings Plan (RRSP), a Deferred Profit Sharing Plan (DPSP), and paid time off. Workplace accommodation or adjustment is available during the application, interview, and onboarding process for candidates who need it.

Job Details

Job Type: Full-Time

Company: Amazon

Location: Toronto, ON

Requisition ID: 10569450

Date Posted: October 5, 2026

Pay: $76,400–$127,600 CAD annually

Responsibilities

The role covers the full cycle from identifying forecasting problems through to communicating solutions and results. You'll work across technical and business partners, which means the responsibilities span both analytical depth and clear stakeholder communication.

• Identify and analyze opportunities to improve forecast accuracy by detecting, diagnosing, and correcting forecast problems
• Partner with PMs, Science, and Engineering to design solutions to complex forecasting challenges
• Develop innovative solutions with machine learning and research scientists to address forecasting challenges for new Amazon businesses
• Generate metrics and insights that help retail customers and downstream supply chain systems optimize decisions
• Build reporting mechanisms for both internal and external teams
• Communicate and earn trust with customers in retail and downstream systems

Requirements / Skills

The posting distinguishes between basic qualifications (required) and preferred qualifications. All six items under basic qualifications must be met; the two preferred qualifications would strengthen your application. Have examples of your work with large-scale datasets and SQL-based analysis ready when you apply.

• 3+ years of data analysis experience (required): working with Redshift, Oracle, NoSQL, or similar platforms
• Data modeling, warehousing, and ETL pipeline development (required)
• Data visualization (required): using Tableau, QuickSight, or similar tools
• Complex SQL query writing (required)
• Statistical Analysis packages (required): experience with R, SAS, or Matlab
• Python scripting (required): used alongside SQL to pull and process data for modelling
• AWS services (preferred): EC2, DynamoDB, S3, and Redshift
• Data mining and ETL in a business environment (preferred): with large-scale, complex datasets

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc.; experience with data modeling, warehousing and building ETL pipelines; experience with data visualization using Tableau, Quicksight, or similar tools; experience writing complex SQL queries; experience in Statistical Analysis packages such as R, SAS and Matlab; experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling. Preferred: experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift; experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets