Full-time jobs in Canada

Explore full-time jobs across Canada. Choose a location and read the full job details.

191,192 listings · 19,863 employers Counted Oct 6, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (4,927 listings), Starbucks Coffee Company (1,909 listings), Loblaw Companies Limited (1,519 listings).

Common roles: Project manager, Sales representative, Store manager.

21,411 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / year	81,765.30	12,391
CAD / hour	24.00	6,315
USD / year	95,500.00	1,061
USD / hour	20.00	423
CAD / month	5,538.94	239
CAD / week	1,200.00	30
GBP / hour	35.00	15
USD / month	5,000.00	15
CAD / day	380.00	14
GBP / year	40,000.00	12

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 2% remote, 18% hybrid, 80% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Full-time jobs in Canada

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Mirabel, QC
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Volatus Aerospace
Vaughan, ON
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Carmichael Engineering Ltd.
Richmond, BC
- $95,000 to $110,000 CAD / year
- Full-time

Amazon

Business Intelligence Engineer, Forecasting & Labs Analytics

Toronto, ON, Canada

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Applications open in a new tab.

Job details

Experience: 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Posting language: English
Posted: Oct 5, 2026

Original job description

Amazon has the world’s most complex supply chain: we fulfill global demand for hundreds of millions of products at lightning fast delivery speeds. We need your skills to optimize our supply chain, with the end goal of delighting our customers. A core part of the supply chain operations is Demand Forecasting: We forecast the demand of tens of millions of products. These forecasts are used to make many decisions, such as automatically order hundreds of millions worth of inventory, decide where to place that inventory, and establish labor plans for hundreds of warehouses.

We need a creative, smart and enthusiastic Business Intelligence Engineer. Your mission will be to improve forecast accuracy and enable partner teams and customers to optimize supply chain decisions. You will do this by detecting, diagnosing and correcting forecast problems and generating metrics and insights. You will have the resources and tools to help you deliver this mission - support from partner teams like Data Engineering/Data Science/Program, rich datasets and tools like AWS Redshift and Tableau.

Key job responsibilities
As a Business Intelligence Engineer in forecasting, you will be responsible for:
- Understanding the opportunities for improvement and partnering with PMs, Science and Engineering to design solutions to complex forecasting problems.
- Come up with innovative solutions working with our machine learning & research scientists that solves forecasting challenges for new businesses that Amazon keeps inventing.
- Communicate and earn trust with our customers in retail & our downstream systems.
- Develop strong reporting mechanisms for internal and external teams. Basic Qualifications: - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 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 Qualifications: - 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

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, ON, Toronto - 76,400.00 - 127,600.00 CAD annually

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More about this job

Responsibilities

You will be responsible for improving forecast accuracy by detecting and diagnosing problems while partnering with engineering and science teams to design innovative solutions. Additionally, you will develop robust reporting mechanisms and communicate insights to retail and downstream system stakeholders.

Requirements

Candidates must have at least 3 years of experience in data analysis, data modeling, and building ETL pipelines using tools like Redshift, SQL, and Python. Proficiency in data visualization tools such as Tableau and experience with statistical analysis packages are also required.

Skills

Business intelligence
Data modeling
Data warehousing
ETL pipelines
Tableau
SQL
Python
Redshift
Statistical analysis
Machine learning
Forecasting
Data mining
Oracle
NoSQL
AWS
Data visualization

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
Forecasting
Supply Chain
Data Engineering
Data Science
AWS
Redshift
Tableau
Quicksight
SQL
Python
ETL
Data Modeling
Data Warehousing
Statistical Analysis
R
SAS
Matlab
Machine Learning
NoSQL
Oracle
DynamoDB
S3
EC2
Data Mining

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