Posted by Is there a high demand for data analysts in Canada? The quick answer is YES. Big data is a rapidly (and possibly the fastest) growing domain today, and there is a strong demand for people who can make sense of it all. Data analysts are those individuals.
Every company, whether tech-oriented or not, requires people who are trained and ready to sort, analyze, and interpret large amounts of data in order to make sound business decisions.
In Canada, the average data analyst salary is $70,289 per year or $36.05 per hour. Entry-level salaries begin at $52,850 per year, with the most experienced workers earning up to $95,192 per year.
8 Data analytics jobs for freshers in Canada Hiring now
Below is a list of data analytics jobs available for freshers hiring now in Canada, and they include the following:
#1. Data Scientist
- Tredence Inc.
- Ontario, Canada
- Full-time · Mid-Senior level
Job Description:
- Collaborate with the team to define business requirements, develop an analytical solution, and deliver the solution with a specific focus on the Big Picture to ensure the solution’s robustness.
- Collaborate with smart teams of people. Be in charge of their evaluations and career development.
- Participate in and lead executive presentations with key client stakeholders.
- Be a part of a welcoming and open environment. A culture in which making mistakes and learning from them is expected.
- Understand how your work will contribute to the development of an organization and be able to drive organizational initiatives that will challenge and grow your capabilities.
Click on the link below for more detailed information on this and to apply.
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#2. Consultant Data Science
- Tredence Inc. Toronto, ON Hybrid
- Full-time · Associate
JOB DESCRIPTION:
- 3-7 years of data science experience, including hands-on ML model development.
- Practical experience with SQL, R, Python, Spark, and machine learning models.
- Demonstrated ability as a full-stack data scientist who develops, optimizes, and scales models for production environments. a. Create metrics for model performance monitoring and conduct continuous model performance monitoring (after deployment).
- Proven industry experience designing, leading, and managing large-scale data science projects, as well as collaborating with data engineers and Product Managers. a. Collaborate with data engineers to test and validate training and production data pipelines, among other things.
Click on the link below for more detailed information on this and to apply.
#3. IT Director, eCommerce & Data Analytics
- Kenvue –
- Markham, ON
Job description
Kenvue, a subsidiary of the Johnson & Johnson Family of Companies, is looking for an IT Director, eCommerce & Data Analytics, to work in Markham, Ontario, Canada. We give our employees the flexibility and autonomy they need to balance personal and also professional responsibilities.
Click on the link below for more detailed information on this and to apply.
#4. Head of Data
- Mercury Toronto, ON
- Full-time
Mercury Financial Technology is a financial technology firm. We’re looking for a Head of Data to help us build, support, and develop our analytics engine team.
In this job role, you will be in charge of a team of 10+ data scientists and data engineers embedded across product teams, and you will have a significant impact on how we invest in and build Mercury’s future.
You’ll be instrumental in establishing a data-driven culture at Mercury so that stakeholders across the company can understand what’s going on, react quickly, and invest wisely.
Click on the link below for more detailed information on this and to apply.
#5. Senior Data Analyst (Python/SQL)
- Geotab (Oakville, ON, Canada)
Job description
Geotab is a global leader in IoT and connected transportation, as well as a “Great Place to Work.” We are a group of diverse and talented people who work together to help businesses grow and succeed while also improving the safety and sustainability of our communities.
As a Senior Data Analyst, your primary responsibility will be to examine large data sets to identify trends, develop charts, and create visual presentations to assist businesses in making more strategic decisions.
Click on the link below for more detailed information on this and to apply.
6. Data Analyst
- Wood Mackenzie Calgary, Canada
- Full time
Job Description
We are looking for Data Analysts to help with the ingestion, processing, management, and quality control of our proprietary datasets. Working as part of a dynamic team, you will have to play an important role in the ongoing transformations to expand our data offerings, leading to higher-value analytics.
Click on the link below for more detailed information on this and to apply.
https://ca.bebee.com/job/20230201-827a7062e879100680b2193514d5d2bd?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic
#7. Data Analyst required in Canada
- Company Name Confidential
- Canada
Job Description
- Using automated tools to retrieve data from primary and secondary sources;
- removing corrupted data, and • correcting coding errors and other issues
- Creating and maintaining databases and data systems and reorganizing data in a readable format
- Conducting analyses to assess data quality and meaning
Click on the link below for more detailed information on this and to apply.
#8. 2023 – AI & Data Engineering Co-Op Program
- Bell Mississauga, ON
- Full-time
We are looking for talented and enthusiastic persons to join the Bell team in 2023! Our co-op provides a crash course in business operations gained through hands-on experience working with some of Canada’s largest brands, such as Bell Mobility, Bell Fibe, and Virgin Mobile.
Click on the link below for more detailed information on this and to apply.
Conclusion
Data analytics is a challenging, well-paying (even at entry-level) job that is becoming increasingly in demand across almost every industry.
You’ll be in a great position to land an entry-level data analytics job if you have a qualification, basic skills, and a strong resumé and portfolio.
