Salary for Entry-level / Junior Analyst in Canada during 2024

Salary details

The average entry-level / junior Analyst salary lies between USD 59,678 and USD 80,000 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: Dec. 22, 2024

Top 20 Job Tags for Entry-level / Junior Analyst roles

The three most common job tag items assiciated with entry-level / junior Analyst job listings are SQL, Python and Excel. 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 | 7988 jobs Python | 6699 jobs Excel | 5489 jobs Statistics | 5169 jobs Data analysis | 5094 jobs Power BI | 4699 jobs Engineering | 4216 jobs Tableau | 4156 jobs Research | 3637 jobs Computer Science | 3433 jobs R | 3421 jobs Data Analytics | 3087 jobs Finance | 2929 jobs Mathematics | 2715 jobs Data visualization | 2589 jobs Data quality | 2432 jobs Data management | 2380 jobs Testing | 2304 jobs Business Intelligence | 2213 jobs Machine Learning | 2161 jobs

Top 20 Job Perks/Benefits for Entry-level / Junior Analyst roles

The three most common job benefits and perks assiciated with entry-level / junior 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 | 7325 jobs Health care | 4308 jobs Flex hours | 3532 jobs Competitive pay | 2485 jobs Team events | 2308 jobs Equity / stock options | 2163 jobs Startup environment | 2153 jobs Insurance | 1989 jobs Flex vacation | 1853 jobs Salary bonus | 1671 jobs Parental leave | 1368 jobs Medical leave | 1357 jobs Wellness | 1233 jobs 401(k) matching | 829 jobs Fitness / gym | 386 jobs Relocation support | 356 jobs Transparency | 326 jobs Home office stipend | 307 jobs Flexible spending account | 295 jobs Gear | 269 jobs

Salary Composition

In Canada, the salary composition for an entry-level or junior analyst role in AI/ML/Data Science typically includes a fixed base salary, which forms the bulk of the compensation package. The base salary can vary significantly depending on the region, industry, and company size. For instance, tech hubs like Toronto and Vancouver might offer higher base salaries compared to smaller cities. In addition to the base salary, some companies offer performance-based bonuses, which can range from 5% to 15% of the base salary. Larger companies or those in competitive industries such as finance or technology might also provide stock options or equity as part of the compensation package. Benefits such as health insurance, retirement plans, and professional development allowances are also common.

Steps to Increase Salary

To increase your salary from an entry-level position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your technical skills, especially in high-demand areas like deep learning, natural language processing, or big data technologies.
• Advanced Education: Pursuing a master's degree or specialized certifications can make you more competitive.
• Networking: Build a strong professional network through industry events, conferences, and online platforms like LinkedIn.
• Performance Excellence: Consistently exceed performance expectations and take on challenging projects to demonstrate your value to the organization.
• Negotiation Skills: Develop strong negotiation skills to effectively discuss salary increases during performance reviews or when offered new positions.

Educational Requirements

Most entry-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. Some employers may prefer candidates with a master's degree, especially for roles that involve more complex data analysis or machine learning model development. Coursework in mathematics, programming, and data analysis is highly beneficial.

Helpful Certifications

While not always mandatory, certain certifications can enhance your resume and demonstrate your commitment to the field. Some popular certifications include:

• Google Professional Machine Learning Engineer
• Microsoft Certified: Azure AI Engineer Associate
• IBM Data Science Professional Certificate
• AWS Certified Machine Learning – Specialty

These certifications can provide you with a competitive edge and validate your skills in specific tools and technologies.

Experience Requirements

For entry-level roles, employers typically look for candidates with some practical experience, which can be gained through internships, co-op programs, or relevant projects during your studies. Experience with data analysis, programming languages like Python or R, and familiarity with machine learning frameworks such as TensorFlow or PyTorch is often expected. Demonstrating experience through a portfolio of projects or contributions to open-source projects can also be advantageous.

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