Data Analyst Salary in Canada during 2022

Salary details

The average Data Analyst salary lies between USD 61,300 and USD 100,000 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

Salary trend

Top 20 Job Tags for Data Analyst roles

The three most common job tag items assiciated with Data Analyst job listings are SQL, Python and Tableau. Below you find a list of the 20 most occuring job tags in 2022 and the number of open jobs that where associated with them during that period:

SQL | 2403 jobs Python | 1740 jobs Tableau | 1508 jobs Engineering | 1195 jobs Statistics | 1194 jobs Data analysis | 1057 jobs R | 1015 jobs Excel | 997 jobs Data Analytics | 851 jobs Finance | 811 jobs Data visualization | 782 jobs Power BI | 737 jobs Looker | 724 jobs Computer Science | 724 jobs Research | 692 jobs Mathematics | 656 jobs Business Intelligence | 624 jobs Machine Learning | 594 jobs Testing | 562 jobs KPIs | 520 jobs

Top 20 Job Perks/Benefits for Data Analyst roles

The three most common job benefits and perks assiciated with Data Analyst job listings are Career development, Health care and Startup environment. Below you find a list of the 20 most occuring job perks or benefits in 2022 and the number of open jobs that where offering them during that period:

Career development | 1686 jobs Health care | 983 jobs Startup environment | 976 jobs Flex hours | 829 jobs Team events | 731 jobs Flex vacation | 588 jobs Competitive pay | 588 jobs Equity / stock options | 481 jobs Parental leave | 458 jobs Insurance | 417 jobs Salary bonus | 363 jobs Medical leave | 283 jobs Wellness | 273 jobs 401(k) matching | 261 jobs Home office stipend | 220 jobs Unlimited paid time off | 184 jobs Fitness / gym | 160 jobs Gear | 104 jobs Relocation support | 103 jobs Conferences | 76 jobs

Salary Composition

In Canada, the salary composition for a Data Analyst in AI/ML/Data Science typically includes a fixed base salary, performance bonuses, and sometimes additional remuneration such as stock options or profit-sharing. The fixed base salary is the most significant component, often constituting 70-90% of the total compensation package. Bonuses can vary widely depending on the company and industry, ranging from 5-20% of the base salary. Larger tech companies or those in high-demand industries like finance or healthcare may offer more substantial bonuses and additional incentives. Regional differences also play a role; for instance, salaries in major tech hubs like Toronto or Vancouver might be higher compared to smaller cities.

Steps to Increase Salary

To increase your salary from a Data Analyst position, consider the following strategies:

• Skill Enhancement: Acquire advanced skills in machine learning, data engineering, or data visualization tools. Proficiency in programming languages like Python or R, and experience with big data technologies such as Hadoop or Spark, can make you more valuable.
• Advanced Education: Pursuing a master's degree or specialized certifications in data science or AI can open up higher-paying opportunities.
• Networking: Engage with professional networks and attend industry conferences to learn about new opportunities and trends.
• Performance and Negotiation: Consistently demonstrate high performance and be prepared to negotiate your salary during performance reviews or when taking on additional responsibilities.

Educational Requirements

Most Data Analyst roles in AI/ML/Data Science require at least a bachelor's degree in a related field such as Computer Science, Statistics, Mathematics, or Engineering. Some positions may prefer or require a master's degree, especially for roles that involve more complex data modeling or machine learning tasks. A strong foundation in quantitative analysis and statistical methods is essential.

Helpful Certifications

Certifications can enhance your credentials and demonstrate expertise in specific areas. Some valuable certifications include:

• Certified Analytics Professional (CAP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• IBM Data Science Professional Certificate
• SAS Certified Data Scientist

These certifications can help you stand out in the job market and may lead to higher salary offers.

Experience Requirements

Typically, entry-level Data Analyst positions require 1-3 years of experience in data analysis or a related field. For more advanced roles, 3-5 years of experience is often expected. Experience with data visualization tools (e.g., Tableau, Power BI), databases (e.g., SQL), and statistical software is commonly required. Demonstrating experience in handling large datasets and deriving actionable insights is crucial.

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