Analyst Salary in Canada during 2024

Salary details

The average Analyst salary lies between USD 69,230 and USD 97,200 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.

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: Dec. 15, 2024

Top 20 Job Tags for Analyst roles

The three most common job tag items assiciated with Analyst job listings are SQL, Python and Statistics. 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 | 16856 jobs Python | 13913 jobs Statistics | 11149 jobs Data analysis | 10433 jobs Excel | 10047 jobs Tableau | 9391 jobs Engineering | 9015 jobs Power BI | 8760 jobs R | 7117 jobs Research | 7022 jobs Computer Science | 6953 jobs Data Analytics | 6410 jobs Finance | 6158 jobs Mathematics | 5856 jobs Data visualization | 5804 jobs Testing | 5159 jobs Data quality | 5053 jobs Business Intelligence | 4732 jobs Machine Learning | 4642 jobs Data management | 4563 jobs

Top 20 Job Perks/Benefits for Analyst roles

The three most common job benefits and perks assiciated with 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 | 14777 jobs Health care | 9406 jobs Flex hours | 6843 jobs Competitive pay | 5644 jobs Equity / stock options | 4770 jobs Team events | 4619 jobs Startup environment | 4612 jobs Insurance | 4366 jobs Flex vacation | 3949 jobs Salary bonus | 3550 jobs Medical leave | 3309 jobs Parental leave | 3236 jobs Wellness | 2820 jobs 401(k) matching | 2110 jobs Transparency | 932 jobs Fitness / gym | 850 jobs Home office stipend | 708 jobs Relocation support | 698 jobs Gear | 610 jobs Flexible spending account | 608 jobs

Salary Composition

In Canada, the salary composition for an AI/ML/Data Science Analyst can vary significantly based on factors such as region, industry, and company size. Typically, the salary is composed of a fixed base salary, which forms the bulk of the compensation package. This base salary can range from 70% to 90% of the total compensation. Bonuses are also a common component, often tied to performance metrics or company profitability, and can account for 5% to 15% of the total salary. 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 cost of living and competitive job markets. Similarly, industries such as finance or technology tend to offer higher compensation compared to sectors like education or non-profits.

Increasing Salary

To increase your salary from the position of an AI/ML/Data Science Analyst, consider the following steps:

• Skill Enhancement: Continuously upgrade your technical skills, especially in emerging technologies and tools relevant to AI and data science.
• Advanced Education: Pursuing a master's degree or specialized certifications can make you more competitive.
• Networking: Engage with professional communities and attend industry conferences to expand your network and learn about new opportunities.
• 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 AI/ML/Data Science Analyst positions require at least a bachelor's degree in a related field such as computer science, data science, statistics, mathematics, or engineering. A strong foundation in these areas is crucial for understanding the complex algorithms and data structures used in AI and machine learning. Some employers may prefer candidates with a master's degree, especially for roles that involve more advanced data analysis or model development.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise to potential employers. Some valuable certifications include:

• Certified Analytics Professional (CAP)
• Google Professional Machine Learning Engineer
• Microsoft Certified: Azure Data Scientist Associate
• AWS Certified Machine Learning – Specialty
• TensorFlow Developer Certificate

These certifications can validate your skills in specific tools and platforms, making you a more attractive candidate.

Experience Requirements

Typically, employers look for candidates with at least 2-3 years of experience in data analysis, machine learning, or a related field. This experience should include hands-on work with data manipulation, statistical analysis, and the development of machine learning models. Experience with programming languages such as Python or R, as well as familiarity with data visualization tools, is often required.

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