Business Intelligence Salary in Canada during 2024

Salary details

The average Business Intelligence salary lies between USD 83,038 and USD 142,000 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: Jan. 19, 2025

Top 20 Job Tags for Business Intelligence roles

The three most common job tag items assiciated with Business Intelligence 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 | 3372 jobs SQL | 2598 jobs Power BI | 1816 jobs Tableau | 1708 jobs Python | 1707 jobs Computer Science | 1330 jobs Engineering | 1251 jobs Statistics | 1199 jobs ETL | 1109 jobs Data analysis | 1042 jobs Excel | 1010 jobs Data visualization | 1004 jobs R | 845 jobs Data Analytics | 793 jobs Finance | 772 jobs Security | 665 jobs Data warehouse | 641 jobs Mathematics | 637 jobs Research | 605 jobs Agile | 594 jobs

Top 20 Job Perks/Benefits for Business Intelligence roles

The three most common job benefits and perks assiciated with Business Intelligence 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 | 1893 jobs Health care | 1138 jobs Flex hours | 756 jobs Competitive pay | 754 jobs Equity / stock options | 649 jobs Startup environment | 569 jobs Insurance | 568 jobs Team events | 566 jobs Flex vacation | 521 jobs Salary bonus | 497 jobs Parental leave | 483 jobs Medical leave | 454 jobs Wellness | 403 jobs 401(k) matching | 327 jobs Fitness / gym | 151 jobs Gear | 106 jobs Transparency | 96 jobs Flexible spending account | 90 jobs Relocation support | 83 jobs Unlimited paid time off | 81 jobs

Salary Composition

In Canada, the salary composition for a Business Intelligence role in AI/ML/Data Science typically includes a fixed base salary, performance bonuses, and 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 and Vancouver may offer higher base salaries compared to smaller cities. Industries such as finance and technology tend to offer more competitive compensation packages. Bonuses are often tied to individual or company performance and can range from 5% to 20% of the base salary. Additional remuneration might include benefits like health insurance, retirement contributions, and sometimes equity in the company, especially in startups or larger tech firms.

Increasing Salary

To increase your salary from this position, consider pursuing advanced roles such as Senior Data Scientist, AI/ML Manager, or transitioning into a specialized niche within AI/ML that is in high demand, such as natural language processing or computer vision. Networking within the industry and building a strong professional brand can also open doors to higher-paying opportunities. Additionally, gaining expertise in emerging technologies and tools, or obtaining advanced certifications, can make you more valuable to employers. Negotiating your salary during performance reviews or when taking on additional responsibilities can also lead to salary increases.

Educational Requirements

Most Business Intelligence 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 Mathematics. However, a master's degree or Ph.D. can be advantageous and is often preferred for more advanced positions. These advanced degrees provide a deeper understanding of complex algorithms and data analysis techniques, which are crucial for success in this field.

Helpful Certifications

Certifications can enhance your credentials and demonstrate your expertise to potential employers. Some common and helpful certifications include:

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

These certifications can validate your skills in data analysis, machine learning, and cloud computing, making you a more competitive candidate.

Experience Requirements

Typically, employers look for candidates with at least 2-5 years of experience in data analysis, business intelligence, or a related field. Experience with data visualization tools (such as Tableau or Power BI), programming languages (like Python or R), and machine learning frameworks (such as TensorFlow or PyTorch) is often required. Experience in a specific industry can also be beneficial, as it provides context and understanding of industry-specific data challenges.

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