Salary for Mid-level / Intermediate Analyst in Canada during 2024

Salary details

The average mid-level / intermediate Analyst salary lies between USD 81,800 and USD 109,000 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.

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 Mid-level / Intermediate Analyst roles

The three most common job tag items assiciated with mid-level / intermediate 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 | 2341 jobs Python | 1832 jobs Statistics | 1549 jobs Data analysis | 1539 jobs Excel | 1397 jobs Tableau | 1322 jobs Engineering | 1244 jobs Power BI | 1183 jobs Computer Science | 1032 jobs Research | 967 jobs R | 926 jobs Data visualization | 899 jobs Data Analytics | 860 jobs Mathematics | 851 jobs Finance | 838 jobs Data quality | 680 jobs Business Intelligence | 666 jobs Testing | 628 jobs Machine Learning | 608 jobs Economics | 584 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Analyst roles

The three most common job benefits and perks assiciated with mid-level / intermediate 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 | 1951 jobs Health care | 1328 jobs Flex hours | 888 jobs Competitive pay | 789 jobs Equity / stock options | 646 jobs Startup environment | 624 jobs Insurance | 607 jobs Team events | 584 jobs Flex vacation | 552 jobs Salary bonus | 510 jobs Parental leave | 473 jobs Medical leave | 471 jobs Wellness | 421 jobs 401(k) matching | 351 jobs Transparency | 126 jobs Home office stipend | 121 jobs Fitness / gym | 118 jobs Unlimited paid time off | 113 jobs Relocation support | 104 jobs Gear | 102 jobs

Salary Composition

In Canada, the salary composition for a mid-level/intermediate AI/ML/Data Science Analyst typically includes a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The fixed base salary often constitutes the majority of the total compensation package, usually ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company and industry, often ranging from 10% to 20% of the total compensation. Additional remuneration, such as stock options, profit-sharing, or comprehensive benefits packages, can make up the remaining 5% to 10%.

The composition can vary based on the region, with major tech hubs like Toronto and Vancouver potentially offering higher base salaries and bonuses. Industry also plays a role; for instance, tech companies or financial institutions might offer more competitive packages compared to smaller startups or non-tech industries. Larger companies often provide more structured bonus schemes and additional benefits compared to smaller firms.

Increasing Salary

To increase your salary from a mid-level position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your skills in emerging AI/ML technologies and tools. Specializing in niche areas like deep learning, natural language processing, or computer vision can make you more valuable.

• Advanced Education: Pursuing further education, such as a master's degree or specialized certifications, can position you for higher-paying roles.

• Networking and Industry Engagement: Attend industry conferences, workshops, and seminars to expand your professional network. Engaging with industry leaders can open up opportunities for higher-paying positions.

• Leadership and Management Skills: Developing leadership skills and taking on managerial responsibilities can pave the way for promotions and salary increases.

• Performance and Results: Demonstrating a track record of successful projects and tangible results can strengthen your case for a raise or promotion.

Educational Requirements

Most mid-level AI/ML/Data Science Analyst positions require at least a bachelor's degree in a related field such as computer science, data science, statistics, or engineering. However, many employers prefer candidates with a master's degree, especially for roles that involve complex data analysis and model development. A strong foundation in mathematics, statistics, and programming is essential, and coursework in machine learning, data mining, and big data technologies is highly beneficial.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise:

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

These certifications can validate your skills and knowledge, making you a more attractive candidate for employers.

Required Experience

Typically, a mid-level AI/ML/Data Science Analyst role requires 3 to 5 years of relevant experience. This experience should include hands-on work with data analysis, machine learning model development, and data visualization. Experience with programming languages such as Python or R, and familiarity with machine learning frameworks like TensorFlow or PyTorch, is often expected. Additionally, experience in a specific industry, such as finance, healthcare, or technology, can be advantageous.

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