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 80,175
✏️ This salary info is based on 72 individual salaries reported during 2024
Salary details
The average entry-level / junior Data Analyst salary lies between USD 65,000 and USD 92,000 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.
- Job title
- Data Analyst
- Experience
- Entry-level / Junior
- Region
- Canada
- Salary year
- 2024
- Sample size
- 72
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- Top 25%
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- Median
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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 | 4638 jobs Python | 3463 jobs Excel | 3237 jobs Data analysis | 3140 jobs Power BI | 2821 jobs Statistics | 2779 jobs Tableau | 2471 jobs Engineering | 2166 jobs Data Analytics | 1890 jobs Research | 1832 jobs Computer Science | 1812 jobs R | 1801 jobs Data visualization | 1530 jobs Finance | 1414 jobs Mathematics | 1403 jobs Data quality | 1312 jobs Data management | 1268 jobs Testing | 1130 jobs Security | 1110 jobs Business Intelligence | 1093 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 | 3997 jobs Health care | 2422 jobs Flex hours | 2069 jobs Competitive pay | 1331 jobs Team events | 1312 jobs Startup environment | 1257 jobs Equity / stock options | 1152 jobs Insurance | 1104 jobs Flex vacation | 1039 jobs Salary bonus | 942 jobs Parental leave | 778 jobs Medical leave | 768 jobs Wellness | 640 jobs 401(k) matching | 501 jobs Fitness / gym | 221 jobs Home office stipend | 197 jobs Transparency | 168 jobs Relocation support | 167 jobs Flexible spending account | 148 jobs Gear | 147 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.
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