Salary for Senior-level / Expert Business Intelligence Analyst in Canada during 2024

Salary details

The average senior-level / expert Business Intelligence Analyst salary lies between USD 76,800 and USD 119,000 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: Nov. 17, 2024

Top 20 Job Tags for Senior-level / Expert Business Intelligence Analyst roles

The three most common job tag items assiciated with senior-level / expert Business Intelligence Analyst job listings are Business Intelligence, SQL and Tableau. 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 | 212 jobs SQL | 182 jobs Tableau | 144 jobs Python | 138 jobs Power BI | 119 jobs Statistics | 108 jobs Data analysis | 105 jobs Data visualization | 81 jobs Engineering | 76 jobs Computer Science | 76 jobs Excel | 70 jobs Finance | 67 jobs ETL | 65 jobs R | 64 jobs Research | 58 jobs Data Analytics | 51 jobs Privacy | 49 jobs Mathematics | 47 jobs Testing | 45 jobs Data quality | 44 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Business Intelligence Analyst roles

The three most common job benefits and perks assiciated with senior-level / expert 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 | 119 jobs Health care | 81 jobs Competitive pay | 79 jobs Flex hours | 60 jobs Equity / stock options | 55 jobs Flex vacation | 47 jobs Wellness | 37 jobs Team events | 37 jobs Salary bonus | 35 jobs Insurance | 34 jobs Parental leave | 28 jobs Startup environment | 27 jobs Medical leave | 26 jobs 401(k) matching | 22 jobs Flexible spending account | 13 jobs Fitness / gym | 11 jobs Snacks / Drinks | 8 jobs Unlimited paid time off | 8 jobs Transparency | 6 jobs Home office stipend | 6 jobs

Salary Composition

In Canada, the salary composition for a Senior-level or Expert Business Intelligence Analyst in AI/ML/Data Science typically includes a mix of a fixed base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The fixed base salary is often the largest component, accounting for approximately 70-80% of the total compensation package. Performance bonuses can vary significantly depending on the company and industry, ranging from 10-20% of the base salary. Additional remuneration, such as stock options or profit-sharing, is more common in larger tech companies or startups and can make up 5-10% of the total package. Regional differences also play a role; for instance, salaries in major tech hubs like Toronto or Vancouver might be higher compared to other regions due to the cost of living and demand for talent.

Increasing Salary Further

To increase your salary beyond the median level, consider pursuing advanced roles such as a Data Science Manager or Director of Analytics. These positions often come with higher compensation packages. Additionally, specializing in high-demand areas like machine learning engineering, AI ethics, or big data analytics can make you more valuable. Networking within industry-specific groups and attending conferences can also open up opportunities for higher-paying roles. Furthermore, negotiating your salary based on market research and your unique skill set can lead to better compensation.

Educational Requirements

Most Senior-level 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 Mathematics. However, a master's degree or even a Ph.D. can be advantageous and sometimes necessary for more advanced positions. These advanced degrees often provide deeper knowledge and research experience, which are highly valued in the field.

Helpful Certifications

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

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

These certifications can help validate your skills and make you more competitive in the job market.

Required Experience

Typically, a Senior-level Business Intelligence Analyst in AI/ML/Data Science is expected to have at least 5-10 years of experience in data analysis, business intelligence, or a related field. Experience with data visualization tools, statistical analysis, and machine learning models is often required. Leadership experience, such as managing a team or leading projects, can also be crucial for senior roles.

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