Salary for Entry-level / Junior Data Analyst in Canada during 2024
💰 The median Salary for Entry-level / Junior Data Analyst in Canada during 2024 is USD 80,320
✏️ This salary info is based on 82 individual salaries reported during 2024
Salary details
The average entry-level / junior Data Analyst salary lies between USD 65,000 and USD 94,068 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.
- Job title
- Data Analyst
- Experience
- Entry-level / Junior
- Region
- Canada
- Salary year
- 2024
- Sample size
- 82
- Top 10%
-
- Top 25%
-
- Median
-
- Bottom 25%
-
- Bottom 10%
-
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:Top 20 Job Tags for Entry-level / Junior Data Analyst roles
The three most common job tag items assiciated with entry-level / junior Data Analyst job listings are SQL, Python and Excel. 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 | 5189 jobs Python | 3844 jobs Excel | 3615 jobs Data analysis | 3535 jobs Power BI | 3220 jobs Statistics | 3137 jobs Tableau | 2752 jobs Engineering | 2459 jobs Data Analytics | 2113 jobs Computer Science | 2030 jobs Research | 2018 jobs R | 2000 jobs Data visualization | 1736 jobs Finance | 1601 jobs Mathematics | 1571 jobs Data quality | 1467 jobs Data management | 1434 jobs Testing | 1261 jobs Security | 1236 jobs Business Intelligence | 1196 jobsTop 20 Job Perks/Benefits for Entry-level / Junior Data Analyst roles
The three most common job benefits and perks assiciated with entry-level / junior 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 | 4478 jobs Health care | 2718 jobs Flex hours | 2296 jobs Competitive pay | 1488 jobs Team events | 1481 jobs Startup environment | 1369 jobs Equity / stock options | 1303 jobs Insurance | 1224 jobs Flex vacation | 1156 jobs Salary bonus | 1063 jobs Parental leave | 871 jobs Medical leave | 856 jobs Wellness | 712 jobs 401(k) matching | 545 jobs Fitness / gym | 253 jobs Home office stipend | 224 jobs Relocation support | 197 jobs Transparency | 193 jobs Gear | 177 jobs Flexible spending account | 165 jobsSalary Composition
In Canada, the salary composition for an entry-level or junior data analyst role can vary significantly based on factors such as region, industry, and company size. Typically, the salary is composed of a fixed base salary, which forms the bulk of the compensation package. In larger metropolitan areas like Toronto or Vancouver, the base salary might be higher due to the increased cost of living. Bonuses are less common at the entry level but may be offered in larger companies or high-demand industries like finance or tech. Additional remuneration can include benefits such as health insurance, retirement contributions, and sometimes stock options, especially in tech startups or larger tech firms.
Increasing Salary
To increase your salary from an entry-level position, consider gaining specialized skills or certifications that are in high demand. Pursuing further education, such as a master's degree in data science or a related field, can also be beneficial. Networking within the industry and seeking mentorship can provide insights into career advancement opportunities. Additionally, gaining experience in high-demand areas such as machine learning, big data analytics, or cloud computing can make you more valuable to employers. Transitioning to a larger company or a different industry that offers higher pay scales can also be a strategic move.
Educational Requirements
Most entry-level data analyst positions require at least a bachelor's degree in a related field such as data science, computer science, statistics, mathematics, or economics. Some roles may accept degrees in other fields if the candidate has relevant skills or experience. A strong foundation in statistical analysis, data manipulation, and programming languages like Python or R is often expected. Coursework or projects that demonstrate your ability to work with data and derive insights can be advantageous.
Helpful Certifications
While not always required, certain certifications can enhance your resume and demonstrate your commitment to the field. Some popular certifications include:
- Microsoft Certified: Data Analyst Associate
- Google Data Analytics Professional Certificate
- IBM Data Science Professional Certificate
- SAS Certified Data Scientist
- Tableau Desktop Specialist
These certifications can provide you with a competitive edge by validating your skills in data analysis tools and methodologies.
Experience Requirements
For an entry-level position, employers typically look for candidates with some practical experience, which can be gained through internships, co-op programs, or relevant projects during your studies. Experience with data visualization tools, SQL, and data cleaning processes is often expected. Demonstrating your ability to work with real-world data sets and solve business problems can be a significant advantage.
Related salaries
Want to contribute?
📝 Submit your salary info
Enter your own salary data for the current or past work year. It's quite simple and doesn't take more than a minute to fill out.
Go to salary survey📢 Share our salary survey
Share our "in-less-than-a-minute survey" with others working in the field of AI, ML, Data Science. The more data we have the better for everyone.
💾 Download the data
All collected information will be updated into a public dataset regularly and provided as a download free for anyone to use.
Go to download page🚀 Search for jobs & talent
If you're thinking about a career change or want to hire fresh talent quickly check out the jobs page.
Go to frontpageAbout this project
We collect salary information anonymously from professionals and employers all over the world and make it publicly available for anyone to use, share and play around with.
Our goal is to have open salary data for everyone. So newbies, experienced pros, hiring managers, recruiters and also startup founders or people wanting to switch careers can make better decisions.