Canada
Data Analyst Salary in Milton, Ontario
$28K
20% Low Band Avg
CAD $40K
Average
$52K
80% High Band Avg
Salaries based on experience level
The Average Entry Level salary of Data Analyst in Milton, Ontario is CAD $40K/yr, this salary increases 29% to $52K/yr when reach Mid Level Career.
From Mid to Senior Level the average salary increases 30% from $52K/yr to $68K/yr.
Salary Compared to Canada National Average Salary
- Data Analyst in Milton, Ontario Salary
- vs
- Data Analyst in Canada Salary
The Average Salary of Data Analyst in Milton, Ontario is $40K/yr. This is -27% lower ($-15,139) compared to Canada national average salary of $55K/yr.
Salary Compared to Milton City Average Salary
- Data Analyst in Milton, Ontario Salary
- vs
- Milton, Ontario City Average Salary
The Average Salary of Data Analyst in Milton, Ontario is -19% lower (-9,840) than the average salary for the city of Milton, Ontario $49K/yr.
Data Analyst job description
Job Title: Data Analyst
Overview/Summary of the role:
A data analyst is responsible for analyzing large sets of data and translating that data into actionable insights that can be used to help a business make better decisions. The role requires an individual who is able to collect, organize, and interpret data from a variety of sources, and then present that data in a meaningful way to stakeholders.
Responsibilities and Duties:
- Collect, organize, and analyze data from a variety of sources
- Identify trends and patterns in data sets and make recommendations based on those findings
- Work closely with stakeholders to understand their business needs and provide data-driven insights to support decision making
- Develop and maintain reports and dashboards to display key metrics and data trends
Data Analyst interview questions
Interviewer: Good morning/afternoon, can you tell us a bit about yourself and your experience in data analysis?
Candidate: Sure, my name is [Name] and I have 3 years of experience as a data analyst. I have worked in various industries such as healthcare and finance, and have experience in collecting, cleaning, analyzing and visualizing large datasets.
Interviewer: What are some of the tools and technologies you have used as a data analyst?
Candidate: I have used SQL, Python, R, Excel, Tableau and Power BI for data manipulation, analysis and visualization. I am also proficient in statistical analysis and predictive modelling using these tools.
Interviewer: Can you walk us through your data analysis process from start to finish?
Candidate: Sure. It involves understanding the problem statement, collecting data from various sources, cleaning and pre-processing the data, performing exploratory data analysis, developing statistical and machine learning models, and visualizing the results using appropriate tools.