10 Highest Paying Data Analyst Jobs in Canada (2024)

QueenClev
By Queen Clev

Follow Us

In the field of data analytics, questions have been asked regarding the highest-paying data analyst jobs and their salary in Canada, which reflects the growing significance of this role within organizations.

There are many different international businesses and organizations in the Canadian job market.

--Advertisement--

Employers from various industries, including the banking sector, information technology (IT), health services, the retail industry, and products and services, offer good opportunities for hiring data analysts.

These professionals are typically well compensated for their valuable skills. In this article, we will talk about the 10 highest-paying data analyst jobs in Canada and data analyst salaries in Canadian regions.

Who is a data analyst?

A data analyst uses data to acquire information about specific topics.  This usually starts with the survey process, in which data analysts find survey participants and gather the needed information.

--Advertisement--

The data is then interpreted and presented in forms such as charts or reports. Data analysts may also put their survey data in online databases.

READ:  10 Highest Paying Supply Chain Jobs in the World

What are the duties of a data analyst?

The role of a data analyst is diverse and challenging, with a wide range of responsibilities, including:

  • Collecting and cleaning large data sets
  • Identifying and analyzing patterns in data
  • Creating data visualizations and reports
  • Communicating findings to stakeholders and making data-driven recommendations
  • Conduct research and advise other IT experts on the selection, use, and deployment of database management solutions
  • Design, construction, modification, integration, implementation, and testing of database management systems and data models
  • Utilize database management systems to undertake data analysis and data mining
  • may act as the group’s leader, coordinator, or supervisor.

10 Highest-Paying Data Analyst Jobs in Canada

Here is a list of the 10 highest-paying Data Analyst Jobs in Canada

READ:  Highest Paying Summer Jobs for College Students

1. Financial Data Analyst

Financial analysts study the effects of investments, securities, bonds, and market developments. They can then offer advice to both individuals and companies.

A financial data analyst’s salary in Canada ranges between CAD 47,000 and CAD 107,000 per year.

--Advertisement--

2. Market Data Analyst

Market analysts acquire and assess competitor and consumer data. Their actions could influence the development of new services and goods or marketing strategies.

The market data analyst’s salary in Canada ranges between CAD 34,000 and CAD 100,000 per year.

3. Healthcare/Medical Data Consultants

Healthcare consultants (also known as healthcare analysts) collect and analyze information from various sources, including wearable technology, monetary statements, patient surveys, and electronic medical records.

READ:  10 Steps to Becoming a Successful Sports Analyst (2024 Guide)

This can help enhance patient care and healthcare institutions’ management.

The salary of a medical data consultant or healthcare data analyst in Canada ranges between CAD 27,000 and CAD 100,000 annually.

--Advertisement--

4. Technical Data Analyst

A technical or systems analyst utilizes data to investigate how effectively an organization’s information technology (IT) foundation satisfies its business needs (or if the technology is a product and meets a customer’s requirements).

They will study user data, hardware, software, and other factors to enhance existing protocols and create new ones. A technical data analyst’s salary in Canada ranges between CAD 47,000 and CAD 95,000 per year.

5. Scientific Data Analyst

A scientific data analyst is a professional who collects, organizes, and analyzes scientific data to gain significant understanding and form findings.

READ:  15 Highest Paying Data Analytics Jobs Worldwide (2024)

They are employed in many branches of science, including biology, chemistry, physics, environmental studies, and social studies.

Canada’s scientific data analyst salary ranges between CAD 46,000 and CAD 94,000 per year.

--Advertisement--

6. Lead Data Analyst 

A lead data analyst Manages and leads analytical teams, develops data strategies, and implements advanced analytics techniques. A lead data analyst’s salary in Canada ranges between CAD 80,000 and CAD 120,000 per year.

7. Data Scientist 

A data scientist is involved in designing and implementing complex algorithms, conducting statistical analysis, and developing machine learning models.

A data scientist’s salary is between CAD 70,000 and CAD 110,000 per year (may vary with advanced degrees and experience).

READ:  Top 10 Highest Paying Aviation Jobs in 2024

8. Quantitative Analyst

A quantitative analyst utilizes mathematical models for risk assessment, financial analysis, and decision-making. A quantitative analyst’s salary ranges between CAD 80,000 and CAD 120,000 per year.

9. Data Engineer 

A data engineer is a professional involved in designing, constructing, and maintaining data architecture, databases, and large-scale processing systems.

--Advertisement--

A data engineer’s salary ranges between CAD 70,000 and CAD 110,000 per year.

10. Business Intelligence (BI) Analyst 

A business intelligence analyst creates visualizations, reports, and dashboards to provide insights into business performance.

A business intelligence analyst’s salary is between CAD 60,000 and CAD 100,000 per year.

Data Analyst Salaries in Canadian Regions

Your income as a data analyst might be significantly influenced by the place where you live. Large cities generally have higher living expenses; hence, jobs typically pay higher salaries.

READ:  10 Highest Paying Data Analyst Jobs in Georgia (2024)

Since increasing numbers of businesses are employing a globally scattered workforce, primarily remote workers, it is prevalent for corporations to present location-based data analyst salaries in Canada—salaries that include geography alongside their merits alone.

--Advertisement--

Here is a list of data analyst salaries in Canada:

Canadian RegionsData Analyst Salaries
QuebecThe average data analyst salary in Quebec is CAD 137,466.
MontrealOn average, data analysts in Montreal earn CAD 63,757.
OntarioThe average data analyst salary in Ontario is CAD 129,033.
TorontoThe average data analyst salary in Toronto is CAD 64,852.
OttawaThe average data analyst salary in Ottawa is CAD 72,405.
MississaugaThe average data analyst salary in Mississauga is CAD 64,852.
AlbertaThe average data analyst salary in Alberta is CAD 97,528.
CalgaryThe average data analyst salary in Calgary is CAD 70,968.
EdmontonThe average data analyst salary in Edmonton is CAD 68,483.
SaskatchewanThe average data analyst salary in Saskatchewan is CAD 84,971.
Nova ScotiaThe average data analyst salary in Nova Scotia is CAD 88,647.
British ColumbiaThe average data analyst salary in British Columbia is CAD 76,664.
VancouverThe average data analyst salary in Vancouver is CAD 66,840.
ManitobaThe average data analyst salary in Manitoba is CAD 75,338.
New BrunswickThe average data analyst salary in New Brunswick is CAD 78,000.
Note that salaries may vary with advanced degrees and experience.

What are the skills and requirements to become a data analyst in Canada?

To become a data analyst in Canada, candidates typically have a background in statistics, computer science, or a related field, as well as strong analytical and problem-solving skills.

READ:  Data Analytics for Dummies: A Complete Guide To Data Analytics

Additionally, many data analysts have experience with programming languages such as Python and R and are familiar with data visualization tools such as Tableau and Power BI.

To become a data analyst in Canada, it is important to have the following skills and knowledge:

  1. Strong analytical and problem-solving skills: Data analysts need to be able to analyze large sets of data and identify patterns and trends that can inform business strategy and operations.
  2. Background in statistics or computer science: A solid foundation in statistics or computer science will help you understand the concepts and methods used in data analysis.
  3. Programming skills: Proficiency in programming languages such as Python and R is essential for working with large data sets and building models.
  4. Familiarity with data visualization tools: Data analysts use tools like Tableau and Power BI to create visualizations and reports that help communicate their findings to stakeholders.
  5. Machine Learning and Artificial Intelligence: As the field of data analysis is rapidly evolving with the increasing use of machine learning and artificial intelligence, having knowledge and experience in these areas will give candidates a competitive edge in the job market.
READ:  10 Highest Paying Jobs in the UK Without Degree (2024)

What is the work environment in Canada like?

The work environment in Canada is generally pleasant and positive. Productive communication and collaboration among team members in an organization are common.

--Advertisement--

Generally, the work culture in Canada is much more relaxed than in many other countries. For example, Americans may be more likely to focus on individual accomplishments, whereas Canadians are more likely to emphasize team efforts.

This cultural difference can lead to different attitudes in the workplace. Americans may be more likely to see their co-workers as competitors, whereas Canadians are more likely to view them as collaborators. 

Conclusion

Overall, data analyst jobs in Canada offer a challenging and rewarding career path with a high potential for growth and a competitive salary.

READ:  10 Ideas for Enhancing UX and UI Design (2024 Guide)

We have been able to discuss the 10 highest-paying data analyst jobs and their salaries in Canada. So keep your eyes on industry trends and polish your analytical skills.

Suppose you are new to Data Analytics and interested in becoming a data analyst. In that case, it is important to gain a solid foundation in statistics, computer science, and programming, as well as experience with data visualization and analysis tools.

--Advertisement--
Share
Leave a comment