Business Intelligence Analyst Salary in Canada during 2024

Salary details

The average Business Intelligence Analyst salary lies between USD 75,000 and USD 115,000 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 Business Intelligence Analyst roles

The three most common job tag items assiciated with Business Intelligence Analyst job listings are Business Intelligence, SQL and Power BI. 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:

Business Intelligence | 789 jobs SQL | 645 jobs Power BI | 461 jobs Python | 458 jobs Tableau | 438 jobs Statistics | 383 jobs Data analysis | 321 jobs Excel | 289 jobs Engineering | 261 jobs Computer Science | 259 jobs Data visualization | 244 jobs R | 230 jobs Data Analytics | 193 jobs Finance | 190 jobs Research | 189 jobs Mathematics | 185 jobs ETL | 178 jobs Security | 158 jobs Data quality | 130 jobs Privacy | 129 jobs

Top 20 Job Perks/Benefits for Business Intelligence Analyst roles

The three most common job benefits and perks assiciated with Business Intelligence Analyst job listings are Career development, Health care and Competitive pay. 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 | 426 jobs Health care | 287 jobs Competitive pay | 232 jobs Flex hours | 206 jobs Equity / stock options | 158 jobs Flex vacation | 136 jobs Salary bonus | 128 jobs Insurance | 125 jobs Team events | 119 jobs Startup environment | 114 jobs Parental leave | 98 jobs Wellness | 91 jobs Medical leave | 84 jobs 401(k) matching | 76 jobs Fitness / gym | 40 jobs Relocation support | 31 jobs Flexible spending account | 25 jobs Unlimited paid time off | 24 jobs Transparency | 23 jobs Home office stipend | 21 jobs

Salary Composition

In Canada, the salary composition for a Business Intelligence 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 largest component and varies significantly depending on the region, industry, and company size. For instance, tech hubs like Toronto or Vancouver might offer higher base salaries compared to smaller cities. Industries such as finance or technology tend to offer more competitive compensation packages. Larger companies often provide more comprehensive benefits and bonuses, while startups might offer equity as part of the compensation package.

Steps to Increase Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your skills in AI/ML and data science. Mastering advanced tools and techniques can make you more valuable.
• Advanced Education: Pursuing a master's degree or specialized certifications can open up higher-paying opportunities.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms to learn about new opportunities.
• Performance Excellence: Consistently exceed performance expectations to position yourself for promotions and raises.
• Negotiation Skills: Develop strong negotiation skills to better advocate for salary increases during performance reviews or when switching jobs.

Educational Requirements

Most Business Intelligence Analyst roles in AI/ML/Data Science require at least a bachelor's degree in a related field such as Computer Science, Data Science, Statistics, or Business Analytics. A strong foundation in mathematics and statistics is crucial. Some positions may prefer or require a master's degree, especially for more advanced roles or in competitive markets.

Helpful Certifications

Certifications can enhance your credibility and demonstrate your expertise. Some valuable certifications include:

• Certified Business Intelligence Professional (CBIP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• IBM Data Science Professional Certificate
• AWS Certified Machine Learning – Specialty

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

Experience Requirements

Typically, employers look for candidates with 2-5 years of experience in data analysis, business intelligence, or a related field. Experience with data visualization tools (like Tableau or Power BI), SQL, and programming languages (such as Python or R) is often required. Experience in AI/ML projects or familiarity with machine learning frameworks can be a significant advantage.

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