Analytics Engineer Salary in Canada during 2023

Salary details

The average Analytics Engineer salary lies between USD 110,000 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 Analytics Engineer roles

The three most common job tag items assiciated with Analytics Engineer job listings are SQL, Engineering and Python. 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:

SQL | 549 jobs Engineering | 511 jobs Python | 438 jobs Pipelines | 321 jobs Snowflake | 262 jobs Looker | 244 jobs Tableau | 241 jobs ETL | 237 jobs Data Analytics | 227 jobs Airflow | 209 jobs Data pipelines | 209 jobs Data warehouse | 207 jobs Testing | 204 jobs dbt | 191 jobs Data quality | 188 jobs Architecture | 183 jobs Computer Science | 175 jobs AWS | 171 jobs Agile | 165 jobs BigQuery | 147 jobs

Top 20 Job Perks/Benefits for Analytics Engineer roles

The three most common job benefits and perks assiciated with Analytics Engineer job listings are Career development, Health care and Startup environment. 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 | 429 jobs Health care | 298 jobs Startup environment | 240 jobs Flex hours | 223 jobs Flex vacation | 202 jobs Team events | 196 jobs Equity / stock options | 188 jobs Salary bonus | 167 jobs Competitive pay | 157 jobs Insurance | 133 jobs Parental leave | 128 jobs Medical leave | 113 jobs Home office stipend | 85 jobs 401(k) matching | 74 jobs Fitness / gym | 74 jobs Wellness | 73 jobs Gear | 70 jobs Unlimited paid time off | 50 jobs Conferences | 34 jobs Relocation support | 26 jobs

Salary Composition for Analytics Engineers in Canada

The salary for an Analytics Engineer 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, or benefits like health insurance, retirement plans, and professional development allowances. The composition can vary based on the region, with major tech hubs like Toronto and Vancouver offering higher salaries. Industry also plays a role; for instance, tech and finance sectors often provide more lucrative packages compared to non-profit or public sectors. Company size can influence the compensation structure, with larger companies typically offering more comprehensive benefits and bonuses.

Steps to Increase Salary from an Analytics Engineer Position

To increase your salary from an Analytics Engineer position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging technologies and tools relevant to AI/ML and data science. Specializing in high-demand areas like deep learning, natural language processing, or big data analytics can make you more valuable.
• Advanced Education: Pursuing further education, such as a master's degree or specialized certifications, can enhance your qualifications and open up higher-paying opportunities.
• Networking: Engage with professional networks and communities. Building relationships with industry leaders can lead to new opportunities and insights into higher-paying roles.
• Leadership Roles: Aim for leadership or managerial positions within your organization. These roles often come with higher salaries and additional responsibilities.
• Industry Transition: Consider transitioning to industries known for higher compensation, such as finance or tech, if you are not already in one.

Educational Requirements for Analytics Engineers

Most Analytics Engineer positions require at least a bachelor's degree in a related field such as computer science, data science, statistics, or engineering. A strong foundation in mathematics and programming is essential. Some employers may prefer candidates with a master's degree, especially for more advanced roles. Courses in machine learning, data analysis, and database management are particularly beneficial.

Helpful Certifications for Analytics Engineers

Certifications can enhance 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.
• Google Professional Data Engineer: Focuses on designing, building, and operationalizing data processing systems.
• AWS Certified Machine Learning – Specialty: Demonstrates expertise in building, training, and deploying machine learning models on AWS.
• Microsoft Certified: Azure Data Scientist Associate: Validates your skills in applying data science techniques on Azure.

Experience Requirements for Analytics Engineers

Typically, employers look for candidates with 2-5 years of experience in data analysis, engineering, or a related field. Experience with data warehousing, ETL processes, and data visualization tools is often required. Practical experience in programming languages such as Python, R, or SQL is crucial. Experience in a specific industry can also be beneficial, as it provides domain knowledge that can be applied to analytics tasks.

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