Data Modeler Salary in Canada during 2024

Salary details

The average Data Modeler salary lies between USD 69,000 and USD 114,000 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: Dec. 22, 2024

Top 20 Job Tags for Data Modeler roles

The three most common job tag items assiciated with Data Modeler job listings are SQL, Architecture and Engineering. 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 | 213 jobs Architecture | 152 jobs Engineering | 146 jobs Computer Science | 116 jobs ETL | 105 jobs Security | 99 jobs Data governance | 99 jobs Data Warehousing | 87 jobs Data quality | 87 jobs Agile | 85 jobs Data management | 83 jobs Azure | 79 jobs Python | 71 jobs Snowflake | 71 jobs AWS | 66 jobs Data warehouse | 66 jobs Data analysis | 65 jobs NoSQL | 62 jobs RDBMS | 61 jobs Oracle | 60 jobs

Top 20 Job Perks/Benefits for Data Modeler roles

The three most common job benefits and perks assiciated with Data Modeler 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 | 155 jobs Health care | 103 jobs Flex hours | 59 jobs Competitive pay | 54 jobs Insurance | 45 jobs Equity / stock options | 36 jobs Team events | 36 jobs Flex vacation | 30 jobs Startup environment | 30 jobs Parental leave | 27 jobs Wellness | 24 jobs Salary bonus | 23 jobs 401(k) matching | 20 jobs Medical leave | 13 jobs Relocation support | 12 jobs Transparency | 10 jobs Flexible spending account | 8 jobs Paid sabbatical | 5 jobs Gear | 4 jobs Fitness / gym | 4 jobs

Salary Composition for a Data Modeler in Canada

The salary for a Data Modeler 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 policy and individual performance, often ranging from 5% to 20% of the base salary. Additional remuneration might include stock options, especially in tech companies, and comprehensive benefits packages that cover health, dental, and retirement plans. The composition can vary by region, with major tech hubs like Toronto and Vancouver offering higher base salaries but potentially lower bonuses compared to smaller cities. Industry also plays a role; for instance, financial services and tech companies might offer more competitive packages compared to other sectors. Company size can influence the compensation structure, with larger companies often providing more comprehensive benefits and stock options.

Steps to Increase Salary from a Data Modeler Position

To increase your salary from a Data Modeler position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your skills in advanced data modeling techniques, machine learning, and AI. Proficiency in tools like Python, R, SQL, and data visualization software can make you more valuable.
• Certifications: Obtain relevant certifications that can enhance your expertise and marketability.
• Networking: Engage with professional networks and communities in AI/ML and data science to learn about new opportunities and trends.
• Advanced Education: Pursue further education, such as a master’s degree or specialized courses in data science or AI.
• Leadership Roles: Aim for leadership or managerial roles that come with higher responsibilities and compensation.
• Industry Switch: Consider switching to industries that offer higher pay scales for data modelers, such as finance or tech.

Educational Requirements for a Data Modeler

Most Data Modeler positions require at least a bachelor’s degree in a related field such as Computer Science, Information Technology, Mathematics, or Statistics. A strong foundation in these areas is crucial for understanding complex data structures and algorithms. Many employers prefer candidates with a master’s degree in Data Science, Business Analytics, or a related field, as it demonstrates a deeper understanding of data modeling and analysis techniques. Additionally, coursework in database management, machine learning, and statistical analysis is highly beneficial.

Helpful Certifications for Data Modelers

Certifications can significantly enhance your credentials and demonstrate your commitment to the field. Some valuable certifications include:

• Certified Data Management Professional (CDMP): Focuses on data management and governance.
• Microsoft Certified: Azure Data Scientist Associate: Validates skills in using Azure for data science solutions.
• IBM Data Science Professional Certificate: Covers data science fundamentals and practical applications.
• Google Professional Data Engineer: Demonstrates proficiency in designing and managing data solutions on Google Cloud.

Experience Requirements for a Data Modeler

Typically, employers look for candidates with 2-5 years of experience in data modeling or related fields. Experience with data analysis, database design, and data warehousing is often required. Practical experience with data modeling tools and languages, such as SQL, ER/Studio, or PowerDesigner, is also essential. Experience in specific industries, like finance or healthcare, can be advantageous due to the domain-specific knowledge required.

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