Analytics Engineer Salary in Canada during 2024

Salary details

The average Analytics Engineer salary lies between USD 110,000 and USD 175,000 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 2024 and the number of open jobs that where associated with them during that period:

SQL | 1493 jobs Engineering | 1339 jobs Python | 1216 jobs Pipelines | 878 jobs dbt | 877 jobs ETL | 672 jobs Data Analytics | 639 jobs Tableau | 628 jobs Data quality | 605 jobs Snowflake | 598 jobs Data pipelines | 597 jobs Looker | 577 jobs Computer Science | 577 jobs Airflow | 529 jobs AWS | 515 jobs Testing | 510 jobs Data warehouse | 473 jobs Architecture | 469 jobs Business Intelligence | 446 jobs Power BI | 406 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 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 | 1094 jobs Health care | 684 jobs Flex hours | 600 jobs Startup environment | 541 jobs Equity / stock options | 508 jobs Competitive pay | 433 jobs Flex vacation | 396 jobs Team events | 382 jobs Parental leave | 350 jobs Insurance | 282 jobs Salary bonus | 266 jobs Medical leave | 257 jobs 401(k) matching | 199 jobs Wellness | 194 jobs Home office stipend | 180 jobs Unlimited paid time off | 162 jobs Fitness / gym | 133 jobs Gear | 86 jobs Conferences | 85 jobs Transparency | 78 jobs

Salary Composition

In Canada, the salary composition for an Analytics Engineer in the AI/ML/Data Science field typically includes a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary is often the largest component, making up about 70-80% of the total compensation package. Performance bonuses can vary significantly, ranging from 10-20% of the base salary, depending on the company's performance and individual contributions. Additional remuneration, such as stock options, is more common in larger tech companies or startups and can be a significant part of the total compensation, especially in high-growth industries or regions like Toronto or Vancouver.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in the latest AI/ML technologies and tools. Specializing in high-demand areas like deep learning, natural language processing, or big data analytics can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in a relevant field can open up higher-paying opportunities.
• Leadership Roles: Transitioning into managerial or leadership roles can significantly increase your earning potential.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or industries.
• Certifications: Obtaining advanced certifications can demonstrate your expertise and commitment to the field, potentially leading to salary increases.

Educational Requirements

Most Analytics Engineer positions require at least a bachelor's degree in a relevant field such as Computer Science, Data Science, Statistics, or Engineering. A master's degree is often preferred and can be a significant advantage, especially for roles in larger companies or more competitive markets. Some positions may also require coursework or experience in machine learning, data analysis, and programming languages like Python or R.

Helpful Certifications

While not always required, certain certifications can enhance your qualifications and make you more competitive in the job market. Some valuable certifications include:

• Certified Analytics Professional (CAP)
• Google Professional Data Engineer
• Microsoft Certified: Azure Data Scientist Associate
• AWS Certified Machine Learning – Specialty
• TensorFlow Developer Certificate

These certifications demonstrate your expertise and commitment to staying current in the field.

Required Experience

Typically, an Analytics Engineer role requires 3-5 years of experience in data analysis, data engineering, or a related field. Experience with data modeling, ETL processes, and working with large datasets is often essential. Familiarity with cloud platforms, data warehousing solutions, and machine learning frameworks can also be crucial, depending on the specific job requirements.

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