Business Intelligence Analyst Salary in Canada during 2023
💰 The median Business Intelligence Analyst Salary in Canada during 2023 is USD 86,312
✏️ This salary info is based on 8 individual salaries reported during 2023
Salary details
The average Business Intelligence Analyst salary lies between USD 55,125 and USD 100,631 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.
- Job title
- Business Intelligence Analyst
- Experience
- all levels
- Region
- Canada
- Salary year
- 2023
- Sample size
- 8
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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- Bottom 10%
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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: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 Tableau. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:
Business Intelligence | 267 jobs SQL | 219 jobs Tableau | 164 jobs Python | 117 jobs Power BI | 114 jobs Statistics | 103 jobs Excel | 99 jobs Data analysis | 86 jobs Data visualization | 85 jobs Computer Science | 81 jobs Data Analytics | 74 jobs Finance | 70 jobs Mathematics | 68 jobs R | 67 jobs Engineering | 65 jobs ETL | 60 jobs Data quality | 57 jobs Looker | 53 jobs Economics | 52 jobs KPIs | 42 jobsTop 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 Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:
Career development | 148 jobs Health care | 93 jobs Flex hours | 78 jobs Competitive pay | 71 jobs Team events | 71 jobs Startup environment | 69 jobs Equity / stock options | 58 jobs Flex vacation | 58 jobs Salary bonus | 46 jobs Insurance | 41 jobs Wellness | 40 jobs Parental leave | 35 jobs Medical leave | 32 jobs Home office stipend | 25 jobs 401(k) matching | 22 jobs Yoga | 15 jobs Fitness / gym | 11 jobs Unlimited paid time off | 10 jobs Signing bonus | 9 jobs Conferences | 9 jobsSalary 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 additional remuneration such as stock options or profit-sharing. The fixed base salary is the largest component, often accounting for 70-85% of the total compensation package. Performance bonuses can vary significantly depending on the company and industry, ranging from 5-20% 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 5-15% of the total compensation. 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 tech talent.
Increasing Salary
To increase your salary from a Business Intelligence Analyst position, consider the following steps:
- Skill Enhancement: Acquire advanced skills in AI/ML, data engineering, or data architecture. Proficiency in programming languages like Python or R, and tools like TensorFlow or PyTorch, can make you more valuable.
- Advanced Education: Pursue a master's degree or specialized certifications in data science or AI to enhance your qualifications.
- Networking: Engage with professional networks and attend industry conferences to learn about new opportunities and trends.
- Leadership Roles: Aim for leadership or managerial roles within your organization, which typically come with higher pay.
- Industry Shift: Consider moving to industries that pay higher salaries for BI roles, such as finance, healthcare, or tech.
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 Mathematics. Some positions may prefer or require a master's degree, especially for roles that involve more complex data analysis or machine learning tasks. A strong foundation in quantitative analysis, data management, and statistical modeling is essential.
Helpful Certifications
Certifications can enhance your credentials and demonstrate your expertise. Some valuable certifications include:
- Certified Business Intelligence Professional (CBIP)
- Microsoft Certified: Data Analyst Associate
- Google Data Analytics Professional Certificate
- IBM Data Science Professional Certificate
- AWS Certified Data Analytics – Specialty
These certifications can help you stand out in the job market and may lead to better job opportunities and higher salaries.
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 (such as Tableau or Power BI), SQL, and data warehousing is often required. For more senior roles, 5-10 years of experience, including leadership or project management experience, may be necessary.
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