Salary for Mid-level / Intermediate Analytics Engineer in Canada during 2024

Salary details

The average mid-level / intermediate Analytics Engineer salary lies between USD 90,000 and USD 166,000 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

Top 20 Job Tags for Mid-level / Intermediate Analytics Engineer roles

The three most common job tag items assiciated with mid-level / intermediate 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 | 425 jobs Engineering | 371 jobs Python | 329 jobs Pipelines | 285 jobs dbt | 244 jobs ETL | 205 jobs Data Analytics | 201 jobs Data pipelines | 187 jobs Tableau | 184 jobs Data quality | 181 jobs Computer Science | 179 jobs Snowflake | 156 jobs Looker | 150 jobs Airflow | 149 jobs Architecture | 138 jobs Business Intelligence | 135 jobs Testing | 130 jobs AWS | 127 jobs Data visualization | 126 jobs BigQuery | 114 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Analytics Engineer roles

The three most common job benefits and perks assiciated with mid-level / intermediate 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 2024 and the number of open jobs that where offering them during that period:

Career development | 300 jobs Health care | 203 jobs Startup environment | 148 jobs Flex hours | 140 jobs Equity / stock options | 136 jobs Competitive pay | 128 jobs Team events | 106 jobs Parental leave | 99 jobs Insurance | 97 jobs Flex vacation | 96 jobs Medical leave | 85 jobs Salary bonus | 67 jobs Home office stipend | 61 jobs 401(k) matching | 57 jobs Wellness | 52 jobs Unlimited paid time off | 49 jobs Fitness / gym | 45 jobs Conferences | 41 jobs Gear | 27 jobs Transparency | 23 jobs

Salary Composition for Mid-level Analytics Engineer Roles

In Canada, the salary composition for a mid-level analytics engineer typically includes a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary often constitutes the majority of the total compensation package, usually ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company and industry, often making up 10% to 20% of the total compensation. Additional remuneration, such as stock options, profit-sharing, or comprehensive benefits packages, can account for the remaining 5% to 10%.

The composition can vary based on the region, with tech hubs like Toronto and Vancouver offering higher base salaries and bonuses compared to smaller cities. Industry also plays a role; for instance, tech companies might offer more in stock options, while financial services might provide higher cash bonuses. Larger companies often have more structured and generous compensation packages compared to startups, which might offer more equity in lieu of higher salaries.

Steps to Increase Salary from a Mid-level Position

To increase your salary from a mid-level 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 position you for higher-paying roles.

• Networking and Professional Development: Engage in networking opportunities, attend industry conferences, and participate in workshops to increase your visibility and learn about new opportunities.

• Leadership and Management Skills: Developing leadership skills and taking on more responsibilities can prepare you for senior roles, which typically come with higher salaries.

• Negotiation: When offered a new position or during performance reviews, negotiate your salary and benefits package effectively.

Educational Requirements

Most mid-level 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 statistics is often essential. Some employers may prefer candidates with a master's degree, especially for roles that involve complex data modeling or machine learning tasks.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise:

• 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 your ability to design, implement, deploy, and maintain machine learning solutions on AWS.
• Microsoft Certified: Azure Data Scientist Associate: Validates your skills in applying data science and machine learning techniques on Azure.

Experience Requirements

Typically, a mid-level analytics engineer is expected to have 3 to 5 years of relevant experience. This experience should include hands-on work with data analysis, machine learning models, and data engineering tools. Experience in specific industries or with particular types of data can also be advantageous.

Related salaries

Want to contribute?