Salary for Senior-level / Expert Analyst in Canada during 2024

Salary details

The average senior-level / expert Analyst salary lies between USD 76,800 and USD 115,200 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. 22, 2024

Top 20 Job Tags for Senior-level / Expert Analyst roles

The three most common job tag items assiciated with senior-level / expert 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 | 6068 jobs Python | 4992 jobs Statistics | 4116 jobs Tableau | 3662 jobs Data analysis | 3477 jobs Engineering | 3318 jobs Excel | 2851 jobs Power BI | 2662 jobs R | 2591 jobs Computer Science | 2285 jobs Data Analytics | 2277 jobs Research | 2225 jobs Finance | 2200 jobs Data visualization | 2152 jobs Mathematics | 2115 jobs Testing | 2080 jobs Data quality | 1787 jobs Business Intelligence | 1759 jobs Machine Learning | 1735 jobs Data management | 1464 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Analyst roles

The three most common job benefits and perks assiciated with senior-level / expert 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 | 5093 jobs Health care | 3461 jobs Flex hours | 2250 jobs Competitive pay | 2161 jobs Equity / stock options | 1870 jobs Startup environment | 1707 jobs Insurance | 1665 jobs Team events | 1636 jobs Flex vacation | 1463 jobs Medical leave | 1400 jobs Parental leave | 1317 jobs Salary bonus | 1290 jobs Wellness | 1063 jobs 401(k) matching | 886 jobs Transparency | 437 jobs Fitness / gym | 328 jobs Home office stipend | 270 jobs Unlimited paid time off | 226 jobs Gear | 224 jobs Relocation support | 221 jobs

Salary Composition

In Canada, the salary composition for a Senior-level or Expert Analyst in AI/ML/Data Science typically includes a mix of a fixed base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The fixed base salary is often the largest component, accounting for approximately 70-80% of the total compensation package. Performance bonuses can vary significantly depending on the company and industry, ranging from 10-20% of the base salary. Additional remuneration, such as stock options, is more common in larger tech companies or startups and can make up 5-10% of the total package. Regional differences also play a role; for instance, salaries in major tech hubs like Toronto or Vancouver might be higher compared to other regions. Similarly, larger companies or those in high-demand industries like finance or technology may offer more competitive compensation packages.

Increasing Salary

To increase your salary further from this position, consider the following strategies:

• Skill Enhancement: Continuously update and expand your skill set, particularly in emerging technologies and tools in AI/ML. Specializing in niche areas like deep learning, natural language processing, or computer vision can make you more valuable.
• Leadership Roles: Aim for leadership or managerial positions, which typically come with higher pay. This might involve leading a team of data scientists or managing large-scale projects.
• Networking: Build a strong professional network within the industry. Attend conferences, workshops, and seminars to connect with industry leaders and peers.
• Negotiation: When discussing salary, be prepared to negotiate. Research industry standards and be ready to present your achievements and contributions to justify a higher salary.
• Certifications and Education: Pursue advanced certifications or further education, such as a master's degree or Ph.D., which can enhance your qualifications and bargaining power.

Educational Requirements

Most senior-level positions in AI/ML/Data Science require at least a bachelor's degree in a related field such as computer science, data science, statistics, or engineering. However, a master's degree or Ph.D. is often preferred, especially for expert-level roles. These advanced degrees provide a deeper understanding of complex algorithms, data structures, and statistical methods, which are crucial for high-level analysis and decision-making.

Helpful Certifications

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

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

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

Required Experience

Typically, a senior-level position in AI/ML/Data Science requires at least 5-10 years of relevant experience. This experience should include hands-on work with data analysis, machine learning model development, and deployment. Experience in leading projects or teams is also highly valued, as it demonstrates your ability to manage complex tasks and collaborate effectively with others.

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