Did you know the demand for analytics experts is rising? Businesses increasingly rely on data across all sectors to improve efficiency, remain competitive, understand consumers, and make more informed decisions. Nowadays, data analysis professionals are integral to every organization's division, not confined to IT departments. They collaborate with finance, operations, healthcare, and public-sector teams; aptitudes are highly transferable across industries. This versatility and strong demand position data analysis careers in Canada among the most promising ones. Discover the database analyst salary in Canada!
A Sneak Peak at Key Influencing Factors
- Experience boosts salary – New data analysts earn around $65,000 per year, while those with 5–10 years of experience can earn up to $97,000 or more.
- Average pay in Canada – The average salary for a data analyst is about $85,000, with most earning between $52,000 and $127,000 depending on the job and location.
- Location impacts income – Cities like Toronto and Vancouver offer higher salaries due to higher demand and cost of living compared to smaller regions.
- Skills and education matter – Having a degree and knowing tools like SQL, Python, and data visualization software can lead to better job opportunities and higher pay.
Average Data Analyst Salaries Across Canada
How much does a data analyst make? According to the Government of Canada's Job Bank, a data analyst can expect an annual compensation of 85,000 CAD. The lowest compensation for entry professionals is 52,000 CAD per year, and the highest is 126,900 CAD. However, data analyst wages may vary by province and expertise. 1
Salary Breakdown by Experience Level
A data analyst's salary boosts with expertise. As analysts develop more advanced technical aptitudes, they assume greater responsibilities and participate in high-impact strategic decisions, progressively earning higher incomes.
Entry-Level Data Analyst Salaries 🎓
Experience is one of the most important factors influencing a data analyst’s salary in Canada. As with many roles in the tech and data fields, compensation tends to increase steadily with years of experience. Employers value not only technical skills but also the ability to apply data insights in real-world business contexts - something that often comes with time on the job.
So, how much can you expect to earn as a data analyst early in your career?
For professionals who are just starting out, typically with less than two years of experience, the average salary is around 64,940 CAD per year, based on 2025 data from Indeed. While this figure may vary depending on the specific industry, employer, and location, it provides a solid benchmark for entry-level roles.
This stage often includes recent graduates or individuals transitioning into the field from related disciplines, and it lays the foundation for higher earning potential as skills and experience grow.
Mid-Level Data Analyst Salaries 💼️
The wage for mid-level data analyst professionals with two to five years of background is 75,326 CAD per year (Indeed 2025), representing a 16% increase over that of junior data analyst professionals with less than two. 2
Senior Data Analyst Salaries 👔
Senior data analysts with extensive knowledge command the highest paychecks in the field. Professionals with five to ten years of background can expect to earn approximately 97,512 CAD per year (Indeed 2025), a further 29% increase. These senior roles reflect leadership, strategy, and expertise. 2
Regional Salary Variations
Compensation for data analysts varies significantly by city and region. Factors such as cost of living, local demand, concentration of technology companies, and labor conditions directly influence wage ranges. Therefore, analyzing regional and local differences and comparing them to the national average provides a better understanding of economic opportunities and professional growth in the data analysis sector.
Data Analyst Salaries in Major Canadian Cities 🌇
According to Indeed, data analyst wages also vary by Canadian city. For example, large cities such as Toronto (92,624 CAD on average), Vancouver (91,014 CAD), and Montreal (79,014 CAD) tend to offer higher wages.
This is mainly because of the number of job opportunities, the higher cost of living, and the constant demand for specialized data profiles. 3
Provincial Salary Insights 🍁
Also, according to the Government of Canada's Job Bank, data analyst wages vary by province, as shown in the compensation table above. For instance, British Columbia has a higher median wage than Prince Edward Island and Nova Scotia, largely due to higher living costs, regional demand for this profession, and local conditions.
Therefore, if you are already a data analyst or planning to become one, we recommend comparing provincial wage ranges to assess job opportunities in data analysis and professional growth. 1
| Community/Area | Low Annual Salary (CAD) | Median Annual Salary (CAD) | High Annual Salary (CAD) |
|---|---|---|---|
| Canada | 52,000 | 85,010 | 126,942 |
| Alberta | 58,802 | 82,826 | 125,606 |
| British Columbia | 59,800 | 91,437 | 124,800 |
| Manitoba | 65,000 | 80,995 | 97,990 |
| New Brunswick | 55,994 | 85,010 | 106,662 |
| Newfoundland and Labrador | 49,999 | 93,766 | 142,813 |
| Northwest Territories | n/a | n/a | n/a |
| Nova Scotia | 41,600 | 69,992 | 160,000 |
| Nunavut | n/a | n/a | n/a |
| Ontario | 51,126 | 85,010 | 127,963 |
| Prince Edward Island | 37,440 | 75,504 | 102,398 |
| Quebec | 45,760 | 91,437 | 114,400 |
| Saskatchewan | 52,707 | 79,997 | 126,942 |
| Yukon Territory | n/a | n/a | n/a |
Factors Influencing Data Analyst Salaries
Education and Certifications 🏫
We know having a particular background can influence your earning potential when working as a data analyst, but how much? Comparing data analyst wages by type of education helps better understand the market demand.
Diploma or Certificate in Data Analysis ⭐️
This is a good starting point for most data professionals. A college diploma or bootcamp certificate isn't a bad idea for getting started in data analysis. Workers with data analysis study paths typically earn entry- to mid-range wages. At this stage, you may likely work under the supervision of bachelor's or master's holders in a related discipline.
Getting a Bachelor's ⭐️⭐️
Holding a bachelor's in data science or a related field is the cradle for growth in most IT organizations. You may enjoy many benefits of working in an IT environment at this stage, including broader professional opportunities and higher pay. The salary prospects are one of the reasons many pursue further studies after working in data analysis for some time.
A Master's degree ⭐️⭐️⭐️
Holding a master's degree in data science, data analysis, or a related IT field can significantly enhance your career prospects, especially when aiming for specialized, senior, or research-focused positions. While a bachelor’s degree is often sufficient for entry-level roles, a master’s demonstrates a deeper understanding of advanced data methodologies, statistical modeling, machine learning, and strategic decision-making. This makes candidates more competitive in the job market and better equipped to take on complex challenges.
Many employers actively seek out professionals with a master’s qualification for roles that involve greater responsibility, such as leading data projects, mentoring junior analysts, or shaping data-driven strategies at the organizational level.
In fact, candidates with a master’s are often fast-tracked for promotion, as the degree signals both technical proficiency and a strong theoretical foundation.
This can lead to quicker career advancement, access to higher-paying roles, and increased influence within data teams.
Industry and Sector 🏭
The industry or sector in which a data analyst works also significantly impacts their salary. According to compensation data from Indeed Canada, data analysts earn different wages depending on the company, their specialization, and local demand.
Analysts who work for large national institutions or research organizations tend to earn higher paychecks. These variations reflect differences between industries in job complexity and organizational structures. The data in the table was extracted from Indeed 2025 by searching for different data analysis positions. 4
| Sector / Employer Type | Average Salary (CAD/year) | Notes / Source | |
|---|---|---|---|
| National Average (all industries)🍁 | 75,326 CAD | Overall average reported on Indeed Canada | |
| Government / Public Sector🏦 | 83,471 CAD | Example: International Development Research Centre (Indeed) | |
| Federal Agency (Statistics Canada)🏢 | 89,665 CAD | Specialized analytical and statistical roles (Indeed) | |
| Banking / Corporate (TD Bank)💰 | 73,517 CAD | Large financial institution with strong analytics teams (Indeed) | |
| Customer Services / Outsourcing (Operations-focused)📊 | 51,000 CAD | Below national average, role-dependent (Indeed) |
Skills and Specializations 🤹
Having specific aptitudes also affects the pay you could earn as a data analyst. According to Indeed, data analysts who combine data analysis must-have skills with technical knowledge tend to earn more.
Data analysts with the following aptitudes tend to earn higher paychecks:
| Skill / Specialization | Why It Matters | Impact on Salary |
|---|---|---|
| SQL and advanced databases | Essential for querying large datasets and managing structured data; widely required in mid-level and senior roles | High |
| Python or R | Used for automation statistical analysis and scalable data workflows | High |
| Data visualization tools (Power BI Tableau) | Critical for executive reporting dashboards and data-driven decision-making | Medium to High |
| Cloud and big data tools (AWS Google Cloud Azure Spark) | Enable large-scale data processing and cloud-based analytics | High |
| Business and industry (finance healthcare marketing) | Translates data insights into strategic and commercial value | Medium to High |
This data was obtained from Indeed Canada's data analysis positions, and the main aptitudes were extracted from each position. 5
Strategies to Increase Your Data Analyst Salary
This question is on the minds of many data analysts, especially those in junior roles. You must know how to get the most out of this fast-paced profession. Suppose you are earning a junior compensation or working with a diploma in data analytics. In that case, there are many ways you could achieve career growth and earn a higher income. Here are some strategies to boost your skill development and get you on track to master what you need.
Get an advanced degree 📃
This is one of the requirements for achieving success in the data analyst profession. Companies are having difficulty filling open positions because it is tough to find candidates with the necessary aptitudes, training, and expertise.
While a bachelor's in STEM is typically recommended for future data analysts, getting further studies and specialization is the quickest path to finding better job prospects, promotions and higher pay.
Learn the proper skill set 🙋
The tech aptitudes in demand now may not be needed in the future. That's why it's crucial to stay up to date on developments in your field and maintain current competency levels. You'll stand out from the competition and access higher wages if you have a background in multivariate testing, data mining, statistical and predictive modelling, and, for example, quantitative analysis.
Plus, do you know you can successfully negotiate remuneration growth if you have the right aptitudes? Courses in data modelling, mathematics, computer science, and other related subjects provide excellent preparation to become a data analyst. And if you're looking to improve your employability, you hire a tutor from Superprof.
Gain more experience in your specialty 🎓
There are things you can do right now to improve your compensation prospects, whether you're thinking about getting a master's or are already studying one. If you are pursuing further education, consider adding internships or project-based positions to your resume to gain valuable experience and aptitudes.
Always know your worth 🌟
If you're a data analyst and want to discuss a raise or promotion, prepare by getting some negotiation tactics. Payscale and Salary.com are just two of many pay calculators and websites available to see how your current wage compares to the market average. Knowing the compensation ranges for professionals in your field and area might help you determine whether you are fairly compensated.
Whether you are a tech professional or considering becoming one, Superprof's private tutoring lets you connect with highly qualified professionals in data analysis and related fields. If you prefer learning remotely or face-to-face, our tutors will provide you with the knowledge you need to start off on the right foot, adapting to your needs and availability. Wait no more and become a pro in everything you are interested in learning.
References
- E. a. S. D. (2025b, December 1). Data Analyst - Informatics and Systems | Wages - Job Bank. https://www.jobbank.gc.ca/marketreport/wages-occupation/17882/ca
- Data Analyst Salary by Experience. (2025, October 24). Indeed. https://ca.indeed.com/career/entry-level-data-analyst/salaries
- Data Analyst Salary by City. (2025, December 16). Indeed. https://ca.indeed.com/career/data-analyst/salaries/Toronto--ON
- Data Analyst Salary by Position. (2025, December 21). Indeed. https://ca.indeed.com/career/data-analyst/salaries
- Data Analyst Jobs. (2025). Indeed. https://ca.indeed.com/q-data-analyst-jobs.html?vjk=4eb431949960c02b
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