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

Salary details

The average entry-level / junior Research Analyst salary lies between USD 73,476 and USD 100,144 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 Research Analyst roles

The three most common job tag items assiciated with entry-level / junior Research Analyst job listings are Research, 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:

Research | 283 jobs Python | 183 jobs Statistics | 178 jobs Excel | 147 jobs R | 138 jobs Data analysis | 113 jobs SQL | 100 jobs Economics | 99 jobs Mathematics | 89 jobs Engineering | 83 jobs Finance | 77 jobs Machine Learning | 70 jobs Security | 62 jobs SAS | 62 jobs Computer Science | 57 jobs Power BI | 53 jobs Tableau | 51 jobs Market research | 51 jobs Data visualization | 37 jobs Stata | 37 jobs

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

The three most common job benefits and perks assiciated with entry-level / junior Research Analyst job listings are Career development, Health care and Equity / stock options. 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 | 174 jobs Health care | 129 jobs Equity / stock options | 73 jobs Flex hours | 70 jobs Competitive pay | 62 jobs Startup environment | 58 jobs Insurance | 52 jobs Team events | 44 jobs Flex vacation | 41 jobs Wellness | 35 jobs Salary bonus | 34 jobs Medical leave | 33 jobs 401(k) matching | 22 jobs Parental leave | 19 jobs Conferences | 14 jobs Transparency | 7 jobs Relocation support | 6 jobs Flexible spending account | 6 jobs Fitness / gym | 5 jobs Fertility benefits | 4 jobs

Salary Composition

In Canada, the salary composition for an entry-level or junior research analyst in AI/ML/Data Science typically includes a fixed base salary, which forms the bulk of the compensation package. This 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, many 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 additional remuneration in the form of stock options, profit-sharing, or other incentives. Benefits such as health insurance, retirement plans, and professional development allowances are also common components of the overall compensation package.

Increasing Salary

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

• Skill Enhancement: Continuously upgrade your technical skills, particularly in high-demand areas like deep learning, natural language processing, or big data analytics. Mastery of programming languages such as Python, R, and SQL is crucial.
• Advanced Education: Pursuing a master's degree or specialized certifications can make you more competitive and open up higher-paying opportunities.
• Networking: Build a strong professional network by attending industry conferences, joining relevant online communities, and connecting with professionals on 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 advocate for 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, mathematics, statistics, or engineering. Some employers may prefer candidates with a master's degree, especially for roles that involve more complex data analysis or research responsibilities. A strong academic background in quantitative and analytical subjects is essential.

Helpful Certifications

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

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

These certifications can provide a competitive edge and signal your commitment to professional development.

Experience Requirements

For entry-level positions, employers typically look for candidates with some practical experience, which can be gained through internships, co-op programs, or relevant projects during your academic studies. Experience with data analysis, machine learning models, and programming is often required. Familiarity with tools and platforms such as TensorFlow, PyTorch, and cloud services like AWS or Azure is also beneficial.

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