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

Salary details

The average senior-level / expert Data Analyst salary lies between USD 81,600 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.

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

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 | 3225 jobs Python | 2335 jobs Statistics | 2034 jobs Tableau | 2007 jobs Data analysis | 1863 jobs Engineering | 1668 jobs Excel | 1399 jobs Power BI | 1358 jobs Data Analytics | 1307 jobs R | 1222 jobs Data visualization | 1178 jobs Computer Science | 1085 jobs Finance | 1030 jobs Mathematics | 1007 jobs Research | 994 jobs Testing | 984 jobs Data quality | 883 jobs Business Intelligence | 865 jobs Machine Learning | 735 jobs Looker | 703 jobs

Top 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 | 2470 jobs Health care | 1719 jobs Flex hours | 1215 jobs Competitive pay | 984 jobs Equity / stock options | 968 jobs Startup environment | 945 jobs Team events | 868 jobs Flex vacation | 809 jobs Insurance | 791 jobs Salary bonus | 690 jobs Parental leave | 689 jobs Medical leave | 629 jobs Wellness | 491 jobs 401(k) matching | 478 jobs Fitness / gym | 203 jobs Transparency | 190 jobs Home office stipend | 173 jobs Gear | 151 jobs Unlimited paid time off | 145 jobs Flexible spending account | 111 jobs

Salary 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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