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Home Singapore Blog Data Science & Analytics How Much Do Data Analysts Earn in Canada in 2026?

How Much Do Data Analysts Earn in Canada in 2026?

Rohit Sharma by Rohit Sharma
June 11, 2025
in Data Science & Analytics
2025 Data Analyst Salaries in Canada
OpenAI
Summarize with ChatGPT Ask questions about this article

The nonstop flow of information generated every minute through varied sources creates huge data piles. The data accumulated in this process is labelled and studied closely through data analysis to target audiences and understand their behavior and preferences. This analysis helps businesses to grow by creating and selling products for niche markets.

A data analyst analyzes the gathered data to help businesses identify trends and patterns in consumer behaviour. In Canada, the role offers a promising career with ample growth opportunities. Let’s explore data analyst salaries and roles to understand better career prospects and salary variations in Canada’s job market.

Take your skills to the next level — Explore Data Science Courses

What Is a Data Analyst?

Data Analysts usually focus on tasks such as collecting, analyzing, processing, and presenting data to help businesses make informed decisions. Thanks to their capabilities, they can work across industries. 

Their core responsibilities usually include the following:

  • Data Cleaning and Collection
  • Interpretation and Analysis 
  • Visualization and Reporting 
  • Database Management 
  • Collaboration 
  • Process Improvement 

Employers who recruit Data Analysts in Canada typically look for the following skills:

1. Technical Skills

  • Programming Languages 
  • Data Visualization Tools 
  • Spreadsheet Software
  • Education

2. Soft Skills 

  • Problem-Solving and Analytical Mindset 
  • Communication
  • Eye for Detail
  • Teamwork and Collaboration 

The careers of these professionals progress in two main ways: Junior or Entry-Level Data Analyst and Senior Data Analyst. 

Types of Data Analysis

Data analysis can be divided into four main categories: descriptive, predictive, diagnostic, and prescriptive analytics. They are applied in different ways across industries to solve specific business problems.

  • Descriptive analytics is the most common and basic kind of data analysis. It focuses on what happened. It summarizes historical data, identifies key performance indicators, provides a basic understanding of past performance, and tracks trends. 
  • Diagnostic analytics focuses on understanding the reasons behind an event. It uses methods such as drill-downs and data mining to find the root cause of earlier outcomes. It also uses these techniques to identify patterns and correlations. 
  • Predictive analytics tries to predict what is likely to happen.
  • Prescriptive analytics seeks to find solutions to problems – experts consider it the most prominent type of data analysis.  

Salary of Data Analysts in Canada in 2026

Data analysts are typically well-paid in Canada, with an average annual salary of CAD 71,734. With the rise in demand for data-driven insights across industries, the role of data analysts is transforming and gaining prominence globally.

Let us analyze the salary differences of data analysts in Canada based on experience and location:

Salary of Data Analysts by Experience Level

A data analyst’s salary increases with experience, reflecting their growing expertise, responsibilities, and impact on business outcomes. The table below shows data analysts’ salary differentiation based on experience levels:

Experience Level Annual Salary Range
1-3 Years CAD 54,000 – CAD 79,000
4-6 Years CAD 62,000 – CAD 87,000 
7-9 Years CAD 63,000 – CAD 91,000
10-14 Years CAD 64,000 – CAD 91,000
15 Years + CAD 64,000 – CAD 96,000

Sources: Glassdoor, as of December 7, 2025

The entry-level salary for a data analyst is about CAD 65,663, but it can go up with experience. Freshers join the field with a bachelor’s degree in statistics, business analytics, data science, or a related field. They have basic knowledge of tools like SQL, MongoDB, and more. Moreover, they have robust analytical skills.

Mid-level data analysts are experts in SQL and database systems like SQL Server, MySQL, etc. They create reports and dashboards and have programming experience in Java, Python, R, etc. They earn a salary between CAD 71,000 and CAD 91,000 annually.

Most senior data analysts have over 8 years of experience. They may have a master’s degree in data science, computer science, IT, or a related field along with relevant certifications. These analysts are experts in data analysis and its different tools and have an eye for finding trends. They can earn a salary of up to CAD 140,000 or more.

Data Analyst Salaries by Industry

In Canada, Data Analysts earn more in industries that involve complex data analysis, large-scale data infrastructure, and risk assessment. The industries that offer these professionals the most competitive compensation packages in Canada are:

  • Information Technology (IT) Services 
  • Banking and Finance 
  • Mining and Energy 
  • Networking and Hardware 
  • Healthcare 
  • Entertainment and Electronic Commerce (E-Commerce) 

The IT services industry frequently leads the way in this regard, with the top tech companies offering competitive benefits and pay to attract the best talent. 

The banking and finance sector in Canada was among the first to adopt big data. Now, it is one of the more extensive users of analytics for purposes like risk assessment, investment decisions, and fraud prevention. This has resulted in high salaries for Data Analysts at the top financial institutions in the country.

The natural resources sector uses data analytics for exploration and operational optimization. It offers some of the most lucrative opportunities to Data Analysts in Canada. 

The Canadian networking and hardware industry also offers many high-paying roles for data professionals.

Salary of Data Analysts based on Location

Location plays a pivotal role in determining a data analyst’s salary, with compensation varying across provinces and cities in Canada. Here’s a table to show the salary differences of data analysts across Canadian cities:

Cities in CanadaAverage Annual Salary
EdmontonCAD 106,718
VancouverCAD 83,859
MontrealCAD 74,265
TorontoCAD 73,924
WinnipegCAD 72,315
CalgaryCAD 71,302
OttawaCAD 70,475
MississaugaCAD 66,944
LJMUMSD

Factors Affecting Data Analyst Salaries

Several key factors influence how much data analysts earn, from experience and education to industry demand and technical skills. Explore a few below:

1. Qualification

The required educational qualification, such as a bachelor’s degree in a relevant field combined with a master’s program, is crucial for data analysts seeking competitive salaries in Canada. Further, enrolling in worthwhile certifications can make their resume stand out in the job marketplace.

2. Negotiation

Data analysts are in demand in Canada. Hence, they can negotiate for higher salaries with recruiters for multiple offers. They can also do market research to understand salary trends and seek an offer that suits their abilities.      

3. Skills

Skill development is a crucial factor affecting the salary of data analysts in Canada. Employers appreciate candidates with greater learning aptitude since this is a rapidly growing area. Upskilling and staying relevant are significant for professionals in this field.

4. Location

The geographical location of data analysts also influences their salary. Areas with high cost of living and greater demand for data analysts offer higher wages to these professionals.

Also read: How Much Do Data Analysts Earn in Canada in 2026?

Data Analyst Salary Comparison

Data analyst salaries vary widely based on experience, industry, and location. Comparing salaries across roles helps professionals understand their market value and career growth potential.

Job RoleAverage Annual SalarySkills Required
Data AnalystCAD 91,948SQL, Excel, Python, Power BI, Tableau.
Data ScientistCAD 122,921Machine learning, Python, SQL, R.
Business AnalystCAD 82,550SQL, Excel, business process modeling, data visualization.
System EngineerCAD 115,329System architecture, networking, scripting, cloud platforms.
Business System AnalystCAD 110,000Systems analysis, business process modeling, Agile methodologies.
Data AdministratorCAD 70,971Database management, SQL, Data integrity, Access control.
Data ManagerCAD 135,257Data governance, Data architecture, Team leadership, and Data quality management.

Also Read: Best Data Science Certifications for Professionals in Canada

Data Analyst Salary: Industry Insights and Trends

Data analysts play pivotal roles in varied industries, helping businesses make better decisions. Education, Finance, Automotive, Healthcare, and Technology are some sectors where data analysts are highly sought-after and well-paid. With the growing amount of data constantly generated, demand for skilled data analysts who can turn it into valuable insights is rising.

Moreover, the role of data in emerging trends like AI and ML also impacts the salaries of data analysts.  Here are some highlights of data analysts’ salary trends:

  • Data Analysts skilled in AI/ML tools like Python, TensorFlow, etc., command higher salaries.
  • Analysts with good trend forecasting abilities can seek competitive wages.
  • Analysts leveraging AI for strategic decision-making can also command higher compensation.
  • Knowing the use of ML libraries and AI-driven dashboards enhances the market value of analysts.
  • Hybrid roles combining data analysis and ML skills can help professionals claim higher salaries.

Also Read: Python vs R for Data Science in Canada

How can upGrad help? 

To harness the potential of data and elevate your skills with online Data Science and Analytics courses, you can trust upGrad, the popular career-oriented online higher education platform in Asia. The beneficial certification courses and degree programs offered by upGrad open doors to opportunities in Canada.

Here are some relevant courses offered by upGrad to help with a data analyst career path for enhanced salary:

  • Master of Science in Data Science
  • Executive Diploma in Data Science and AI
  • Executive Diploma in Data Science and AI with IIIT-B

Must read articles:

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FAQs on How Much Do Data Analysts Earn in Canada

Do entry-level data analysts earn well in Canada?

The average salary of a data analyst at the entry level in Canada is competitive, ranging from CAD 64,177 annually. However, this figure can vary depending on experience, location, and industry.  

Which Canadian cities pay data analysts the most in 2026?

The average salary of a data analyst at the entry level in Canada is competitive, ranging from CAD 64,177 annually. However, this figure can vary depending on experience, location, and industry.  

What industries offer the highest data analyst salaries in Canada?

IT services, Energy, Mining, Hardware and Networking, Healthcare, E-Commerce, Finance, and Banking are some industries offering the highest salaries to data analysts in Canada.

How can I increase my salary as a data analyst in Canada?

Data analysts can increase their salaries in Canada by building in-demand skills. Advanced SQL, machine learning, and data visualization are some skills to acquire. Besides, they can gain experience by getting certifications.

Is there a demand for data analysts in Canada in 2026?

Businesses’ increasing reliance on data for decision-making across technology, finance, healthcare, and other industries has caused a massive demand for data analysts in Canada in 2026. The increase in salary of data analysts per month further contributes to the demand.

Can international students or immigrants work as data analysts in Canada?

International students and immigrants can work as data analysts in Canada while pursuing their studies. They can also apply for work permits after completing their education. Immigrants with relevant education, work experience, and language skills can seek permanent residence and work as data analysts.

What do Data Scientists do?

Data Scientists collect, clean, and analyze large sets of data to uncover patterns, predict outcomes, and support decision-making. They use tools like Python, R, and SQL to build models, create visualizations, and translate raw data into meaningful business insights.

How to increase your salary as a Data Analyst in Canada?

The following are the main ways to increase your salary as a Data Analyst in Canada:

Develop In-Demand Skills
Pursue Advanced Certifications and Education 
Specializing and Gaining Experience 
Targeting High-Paying Locations and Industries 
Mastering Salary Negotiation

What does a Data Analyst do?

The following are the key responsibilities of a Data Analyst in Canada:

Data Cleaning and Collection
Interpretation and Analysis 
Visualization and Reporting 
Database Management 
Collaboration 
Process Improvement

What is the lowest pay for Data Analysts?

In Canada, the lowest pay for Data Analysts is between CAD 54,000 and CAD 79,000. This is what they earn in the initial stages of their careers.

Rohit Sharma

Rohit Sharma

36 articles published

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