Analyst Salary in Canada during 2024

Salary details

The average Analyst salary lies between USD 70,000 and USD 106,240 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: Nov. 10, 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 | 14298 jobs Python | 11704 jobs Statistics | 9358 jobs Data analysis | 8674 jobs Excel | 8494 jobs Tableau | 7991 jobs Engineering | 7604 jobs Power BI | 7332 jobs Research | 6023 jobs R | 5965 jobs Computer Science | 5876 jobs Data Analytics | 5438 jobs Finance | 5143 jobs Mathematics | 4918 jobs Data visualization | 4833 jobs Testing | 4387 jobs Data quality | 4275 jobs Business Intelligence | 4164 jobs Machine Learning | 3918 jobs Data management | 3806 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 | 12506 jobs Health care | 7952 jobs Flex hours | 5840 jobs Competitive pay | 4781 jobs Equity / stock options | 4059 jobs Startup environment | 3991 jobs Team events | 3949 jobs Insurance | 3695 jobs Flex vacation | 3390 jobs Salary bonus | 3062 jobs Medical leave | 2805 jobs Parental leave | 2734 jobs Wellness | 2402 jobs 401(k) matching | 1830 jobs Transparency | 754 jobs Fitness / gym | 722 jobs Home office stipend | 617 jobs Relocation support | 593 jobs Gear | 525 jobs Flexible spending account | 513 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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