Data Analyst Salary in Canada during 2024
💰 The median Data Analyst Salary in Canada during 2024 is USD 90,011
✏️ This salary info is based on 213 individual salaries reported during 2024
Salary details
The average Data Analyst salary lies between USD 70,000 and USD 115,000 in Canada. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.
- Job title
- Data Analyst
- Experience
- all levels
- Region
- Canada
- Salary year
- 2024
- Sample size
- 213
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated:Salary trend
Top 20 Job Tags for Data Analyst roles
The three most common job tag items assiciated with Data Analyst job listings are SQL, Python and Data analysis. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:
SQL | 10668 jobs Python | 7752 jobs Data analysis | 7005 jobs Statistics | 6594 jobs Excel | 6347 jobs Tableau | 6069 jobs Power BI | 5756 jobs Engineering | 5208 jobs Data Analytics | 4298 jobs Computer Science | 4038 jobs R | 4006 jobs Data visualization | 3809 jobs Research | 3789 jobs Finance | 3331 jobs Mathematics | 3296 jobs Data quality | 2969 jobs Testing | 2817 jobs Data management | 2584 jobs Business Intelligence | 2573 jobs Security | 2353 jobsTop 20 Job Perks/Benefits for Data Analyst roles
The three most common job benefits and perks assiciated with Data Analyst job listings are Career development, Health care and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:
Career development | 8693 jobs Health care | 5663 jobs Flex hours | 4355 jobs Competitive pay | 3222 jobs Startup environment | 2943 jobs Team events | 2882 jobs Equity / stock options | 2828 jobs Insurance | 2576 jobs Flex vacation | 2482 jobs Salary bonus | 2185 jobs Parental leave | 2015 jobs Medical leave | 1924 jobs Wellness | 1575 jobs 401(k) matching | 1360 jobs Fitness / gym | 570 jobs Transparency | 510 jobs Home office stipend | 508 jobs Gear | 421 jobs Unlimited paid time off | 398 jobs Relocation support | 384 jobsSalary Composition
In Canada, the salary composition for a Data Analyst in AI/ML/Data Science can vary significantly based on region, industry, and company size. Typically, the salary is composed of a fixed base amount, which forms the bulk of the compensation package. This base salary can be supplemented by bonuses, which are often performance-based and can vary from 5% to 20% of the base salary, depending on the company's policies and the individual's performance. Additional remuneration may include stock options, especially in tech companies or startups, and benefits such as health insurance, retirement contributions, and professional development allowances. In larger metropolitan areas like Toronto or Vancouver, salaries might be higher due to the increased cost of living and demand for skilled professionals. Similarly, industries such as finance or technology may offer higher compensation compared to non-profit or public sectors.
Steps to Increase Salary
To increase your salary from a Data Analyst position, consider the following strategies:
- Skill Enhancement: Continuously upgrade your skills in advanced analytics, machine learning, and data visualization tools. Proficiency in programming languages like Python or R, and experience with big data technologies such as Hadoop or Spark, can make you more valuable.
- Advanced Education: Pursuing a master's degree or specialized certifications in data science or machine learning can open up higher-paying opportunities.
- Networking: Engage with professional networks and attend industry conferences to learn about new opportunities and trends.
- Performance Excellence: Consistently exceed performance expectations and take on challenging projects to demonstrate your value to the organization.
- Negotiation: When the opportunity arises, negotiate your salary based on your contributions and market research.
Educational Requirements
Most Data Analyst positions in AI/ML/Data Science require at least a bachelor's degree in a related field such as Computer Science, Statistics, Mathematics, or Engineering. However, a master's degree in Data Science, Business Analytics, or a related discipline is increasingly preferred, especially for roles that involve complex data modeling and machine learning tasks.
Helpful Certifications
Certifications can enhance your credibility and demonstrate your commitment to the field. Some valuable certifications include:
- Certified Analytics Professional (CAP)
- Microsoft Certified: Azure Data Scientist Associate
- Google Professional Data Engineer
- IBM Data Science Professional Certificate
- SAS Certified Data Scientist
These certifications can provide you with a competitive edge and are often recognized by employers as a testament to your expertise.
Experience Requirements
Typically, employers look for candidates with 2-5 years of experience in data analysis or a related field. Experience with data manipulation, statistical analysis, and data visualization is crucial. Additionally, hands-on experience with machine learning models and familiarity with data management tools can be highly beneficial.
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