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

Salary details

The average entry-level / junior Analyst salary lies between USD 31,250 and USD 70,820 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 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 | 6789 jobs Python | 5610 jobs Excel | 4621 jobs Statistics | 4287 jobs Data analysis | 4231 jobs Power BI | 3913 jobs Tableau | 3520 jobs Engineering | 3486 jobs Research | 3082 jobs Computer Science | 2905 jobs R | 2849 jobs Data Analytics | 2614 jobs Finance | 2407 jobs Mathematics | 2251 jobs Data visualization | 2136 jobs Data quality | 2068 jobs Data management | 1999 jobs Business Intelligence | 1947 jobs Testing | 1936 jobs Machine Learning | 1826 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 | 6180 jobs Health care | 3646 jobs Flex hours | 3020 jobs Competitive pay | 2093 jobs Team events | 1969 jobs Startup environment | 1850 jobs Equity / stock options | 1807 jobs Insurance | 1679 jobs Flex vacation | 1587 jobs Salary bonus | 1408 jobs Parental leave | 1151 jobs Medical leave | 1151 jobs Wellness | 1039 jobs 401(k) matching | 723 jobs Fitness / gym | 325 jobs Relocation support | 295 jobs Transparency | 260 jobs Home office stipend | 258 jobs Flexible spending account | 247 jobs Gear | 226 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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