Average Data Analyst with SAS Skills Salary in Toronto, Ontario
The average annual salary of Data Analyst is $65,804.00
The starting salary of Data Analyst is between $40,392.00 and $47,520.00 whereas the maximum salary range is between $79,500.00 and $91,425.00.
| Minimum Annual Pay | Maximum Annual Pay |
|---|---|
| $40,392.00 | $91,425.00 |
The average hourly pay of Data Analyst is $34.62.
The maximum hourly wage is between $36.30 and $42.00.
| Minimum Hourly Pay | Maximum Hourly Pay |
|---|---|
| $0.00 | $42.00 |
- Currency : CAD
- Annual Salary : $65,804.00
- Hourly Pay : $34.62
- Weekly Pay : $1,229.00
- Fortnightly Salary : $2,457.00
- Monthly Salary : $5,324.00
Data Analyst Salary Comparison by Gender
This pie chart demonstrates the gender share for Data Analyst. As indicated, the golden colour represents the percentage share for women and the green represents the percentage share for men.
As shown in the chart, female employees are involved significantly more as Data Analyst compared to male. Their involvement is 57% while of male is only 43%.
Salary Distribution Based on Years of Experience
The line graph shows Data Analyst salary in Toronto, Ontario, Canada on an annual basis. In this graph specifically, it is indicated that as the years of experience increases, so does their wages.
For Data Analyst having experience between 1-4 years, their salary is around $63,275.10.
Once the experience reaches 5-9 years Data Analyst salary would increase again to a total of $81,685.00, adding $18,409.90 from the last salary increase.
After reaching the 10-19 year experience in their career, another increase in salary will be added to a total of $86,509.16.
Prominent Skills Affecting Data Analyst Salary
The bar graph data indicates the importance of specific skills which can have a direct impact on Data Analyst's salary. It clearly highlights the skills needed for a post of Data Analyst when hired by an employer.
The most vital skill expected of Data Analyst is SPSS which impacts the most than the rest of the skills indicated with a staggering 2% comparatively. Therefore, one’s salary would greatly depend on their skills in SPSS.
The skill least likely to affect one’s pay would be Big Data Analytics with 2%. It can be said that Big Data Analytics skill will unlikely impact the salary.
Compensation Statistics Based on Experience Levels
This combination of a line and the bar graph shows how the experience affects the salary of Data Analyst. Companies are considering factors like training and education directly affecting the salary offered to you as an employee. The line graph shows the salary increment with the increase in experience whereas the bar graph shows the comparision of how the salary is getting affected based on experience level.
As shown in the trends, lowest earning is $62,514.00 whereas the highest earning is $84,887.00 which clearly shows the salary increases with the level of expertise.
Late Career person will earn the maximum salary of $84,887.00 at 29%. So to summerize, Early Career earns 5% less than the average salary, Mid Carrer earns 22% more than the average salary, Late Career earns 29% more than the average salary.
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