Salary for Senior-level / Expert Data Analyst in Canada during 2024
💰 The median Salary for Senior-level / Expert Data Analyst in Canada during 2024 is USD 110,380
✏️ This salary info is based on 92 individual salaries reported during 2024
Salary details
The average senior-level / expert Data Analyst salary lies between USD 85,700 and USD 150,000 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.
- Job title
- Data Analyst
- Experience
- Senior-level / Expert
- Region
- Canada
- Salary year
- 2024
- Sample size
- 92
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- Top 25%
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- Median
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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 Senior-level / Expert Data Analyst roles
The three most common job tag items assiciated with senior-level / expert Data Analyst job listings are SQL, Python and Statistics. 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:
SQL | 3733 jobs Python | 2684 jobs Statistics | 2332 jobs Tableau | 2290 jobs Data analysis | 2205 jobs Engineering | 1888 jobs Power BI | 1611 jobs Excel | 1596 jobs Data Analytics | 1503 jobs R | 1399 jobs Data visualization | 1371 jobs Computer Science | 1261 jobs Finance | 1175 jobs Mathematics | 1138 jobs Testing | 1132 jobs Research | 1122 jobs Data quality | 1036 jobs Business Intelligence | 979 jobs Machine Learning | 818 jobs Looker | 808 jobsTop 20 Job Perks/Benefits for Senior-level / Expert Data Analyst roles
The three most common job benefits and perks assiciated with senior-level / expert Data 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 2024 and the number of open jobs that where offering them during that period:
Career development | 2854 jobs Health care | 1978 jobs Flex hours | 1395 jobs Competitive pay | 1143 jobs Equity / stock options | 1092 jobs Startup environment | 1076 jobs Team events | 992 jobs Flex vacation | 942 jobs Insurance | 911 jobs Parental leave | 802 jobs Salary bonus | 758 jobs Medical leave | 736 jobs Wellness | 555 jobs 401(k) matching | 552 jobs Fitness / gym | 234 jobs Transparency | 227 jobs Home office stipend | 195 jobs Gear | 177 jobs Unlimited paid time off | 164 jobs Flexible spending account | 138 jobsSalary Composition for Senior-Level Data Analysts in Canada
The salary for a Senior-level or Expert Data Analyst in Canada typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the largest part of the total compensation package. Performance bonuses can vary significantly depending on the company's performance and individual achievements. Additional remuneration might include stock options, especially in tech companies, and comprehensive benefits packages that cover health, retirement plans, and other perks.
The composition can vary based on the region, industry, and company size. For instance, tech hubs like Toronto or Vancouver might offer higher base salaries and stock options, while smaller companies might focus more on bonuses. Industries such as finance or technology tend to offer more competitive packages compared to non-profit or public sectors.
Steps to Increase Salary from a Senior-Level Position
To increase your salary from a Senior-level Data Analyst position, consider the following strategies:
- Skill Enhancement: Continuously upgrade your skills in emerging technologies and tools in AI/ML and data science. Specializing in niche areas like deep learning or natural language processing can make you more valuable.
- Leadership Roles: Transition into leadership roles such as Data Science Manager or Director of Analytics, which typically offer higher compensation.
- Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
- Negotiation: Improve your negotiation skills to better advocate for salary increases during performance reviews or when switching jobs.
Educational Requirements
Most Senior-level Data Analyst positions require at least a bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or Engineering. However, a master's degree or Ph.D. in Data Science, Machine Learning, or a related discipline can be highly advantageous and sometimes necessary for expert-level roles. Advanced degrees often provide a deeper understanding of complex analytical techniques and methodologies.
Helpful Certifications
Certifications can bolster your credentials and demonstrate expertise in specific areas. Some valuable certifications include:
- Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
- Microsoft Certified: Azure Data Scientist Associate: Focuses on using Azure for data science solutions.
- Google Professional Data Engineer: Demonstrates proficiency in designing and building data processing systems.
- AWS Certified Machine Learning – Specialty: Highlights expertise in building, training, and deploying ML models on AWS.
Experience Requirements
Typically, a Senior-level Data Analyst role requires 5-10 years of experience in data analysis or related fields. This experience should include a proven track record of handling complex data projects, proficiency in data visualization tools, and expertise in statistical analysis and machine learning techniques. Experience in leading projects or teams can also be a significant advantage.
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