Are Data Science, big data, and data analytics jobs in high demand in Canada? Read everything related to these jobs.
Data Science, Data Analytics, Big Data, Database analysts, and data administrators - High Demand Jobs in Canada – with low barriers to entry for New Immigrants
Choosing an education Program in Canada focused on building a career as a Data Scientist, Data Analyst, Business Analyst, Big Data Analyst, Database analyst, and Data Administrator is an excellent move towards building a solid life in Canada. The recent Labour Market Survey by the ESDC points out that the Data Scientist occupational group is expected to face a labor market shortage from 2019 to 2028 at the national level.
Data Analytics and Data Science have come out as one of the most revered fields for employment, education, and instant job-ready programs worldwide. It is also a field where the barriers to entry for new immigrants are low, and there is a seamless transition to the labor market from the study programs. As the demand for Data scientists increases, the Canadian government has also created an ecosystem that helps, aids, and allows growth and progress in this field through the following initiatives:
1. A Canadian government investment of CAD 1.26 billion in Strategic Innovation in the areas of IT and related fields.
2. The labor market survey projects a labor markets shortage of approx. 1000 to 5000 employees in the next decade.
3. Strong demand for people with skills in Data analytics and data science has led to data scientists earning an average of 18-52 CAD per hour.
4. Therefore, a healthy ecosystem in Canada will undoubtedly benefit students studying data science in Canada.
International students can pursue both a postgraduate master’s degree in data science and a postgraduate diploma or certificate program in data science in Canada. In addition to their shorter duration and lower fees, these courses are popular with international students because they are cheaper than degree programs.
What are the Data Science programs, Colleges, fees, eligibility criteria, requirements, duration
Ontario College Graduate Certificate in Big Data Analytics
Post Baccalaureate Diploma in Computer and Information System - Data Analytics
St. Clair College
Ontario College Graduate Certificate in Data Analytics for Business (B018)
Post-Degree Diploma in Data Analytics
Big Data Solution Architecture (1448) (Optional Co-op)
St Lawrence College
Ontario College Graduate Certificate in Business Analytics (Kingston) International Students Only
Artificial Intelligence and Data Analytics
Post-Degree Diploma in Data Analytics
Graduate Certificate in Data Analytics for Business Decision Making
Red River College
Diploma in Data Science and Machine Learning
St Lawrence College
Ontario College Graduate Certificate in Business Analytics
University of Waterloo
Certificates in Business Analysis
Humber Institute of Technology & Advanced Learning
Ontario Graduate Certificate in Business Insights and Analytics
Bow Valley College
Post Diploma Certificate in Data Management and Analytics
University of Calgary
Diploma in Data Science and Analytics (Course Based)
So what is the difference between these programs offered by some of the top Colleges in Canada –
1. Big Data Analytics:
By connecting and presenting information in meaningful ways, Big Data allows users to visualize patterns from the past, the present, and the future. Data Analytics aims to provide a deeper understanding of what data sets mean, enabling stakeholders to make better-informed decisions, predict trends and better understand customer needs. By collecting, curating, manipulating, encoding, and storing data sets, students learn how to mine, analyze, and repurpose them for solving challenges that do not yet exist. Graduates of this program are skilled in collecting, organizing, and interpreting data for various industries, including government, applied research, human resources, health care, and sales and marketing. In addition, students may be hired as Data Analysts, Data Visualization Developers, Business Intelligence (BI) Specialists, Analytics Specialists, BI Solutions Architects, or Business Analytic Specialists based on prior experience, skills, and background.
2. Data Analytics:
A degree in Data Analytics equips graduates with the skills and tools to easily divide and conquer substantial data sets. In group projects, students work with massive data sets from different stakeholders, gaining experience handling real-life data from industries such as telecommunications, finance, and health care.
What are your chances of finding a needle in a haystack? Data analytics professionals probably do this regularly. Knowing the needle’s size, shape, and color would make the task easier for them. Data has traditionally been collected with a purpose in mind, and decisions have been based on the organization’s needs and data analysis. For example, in the age of information explosion, everyone (government, business, social media, etc.) has been collecting data to ensure they don’t fall behind their competitors. A graduate of the Data Analytics program can make sense of millions and millions of rows of data for proper decision-making.
3. Business Analytics:
Business analytics is a growing and dynamic field that prepares graduates for careers in the area. Analytical decision-making tools and techniques will be taught to students so they can use these skills to boost an organization’s competitiveness. In addition, the program offers specialized courses in marketing, operations, and business strategy, as well as generic analytics modeling. Furthermore, students will learn about machine learning and artificial intelligence concepts. They will learn how to use supervised and unsupervised learning techniques to solve real-world problems. Finally, students can apply their knowledge to real-world problems through applied learning techniques such as problem-based learning and work placements. Today’s digital world offers business analytics experts the chance to leverage volumes and varieties of data to boost customer experience, enhance business strategy, and solve real-world problems in real time.
4. Data Science and Machine Learning:
In the Data Science and Machine Learning program, you will:
1. Learn the fundamental concepts in mathematics and statistics that enable these technologies.
2. Make informed decisions based on data collected/organized.
3. Develop industry-specific machine learning algorithms.
4. Learn how to express technical ideas to non-technical people and other developers clearly.
5. Development of data science and machine learning code for real applications in industry.
Job Market for Data Science, Data Analytics, Data Administrators, etc.
According to the Labor Market projection – For Database analysts and data administrators, over the period 2019-2028, A total of 18,000 jobs will be created (as a result of expanding demand and replacement demand), and 16,700 job seekers will become available to fill them (as a result of school leavers, immigration, and mobility) creating a labor market shortage.
Furthermore, new technological practices, such as Blockchain, will continue to emerge. Combined with the development of e-commerce, data science and analytics, predictive analysis, machine learning, and artificial intelligence, these trends will make it possible for database analysts and data administrators to have fantastic career opportunities. And wherever there are labor market shortages, it is expected to lead to a wage-price increase.
Immigration will continue significantly contributing to job seekers, as this occupational group is very popular among newcomers. The skills typically required in this occupation are usually standard worldwide and not unique to the Canadian labor market. As a result, there are lower barriers to entry for immigrants to become database analysts, data scientists, data administrators, and related jobs.
Employment roles in Analytics
1. Data Analyst: A data analyst collects and analyzes data from multiple sources related to the company. As a result of their analysis, they determine what the problem is.
2. Business Analyst: An experienced data analyst can become a business analyst with domain expertise. To make business decisions, they rely on the reports provided by the data analyst.
3. Data Scientist: Using the data, data scientists can predict future trends, as well as the impact that something has had and what is likely to happen in the future, saving the company resources.
4. Visualization Consultant: Large chunks of customer data are visualized using tools like tableau (most commonly used). By comparing different Key Performance Indicators (KPIs), we can better understand how they work.
5. Customer Behavior Analyst / Market Research Analyst: An analyst of behavior analyzes the data collected by a company to determine customers’ purchasing patterns. Forecasting sales allows company products to be distributed based on demand.
6. Operations Analyst: Analyzing day-to-day problems with various company departments is the operations analyst’s task. To improve their result, they offer suggestions that can be implemented practically.
7. Supply Chain Analyst: Providing customers with their products on time is the prime responsibility of the supply chain analyst. To ensure these products can be easily found when ordering, they ensure that the data warehouse is organized correctly.
8. Research Analyst: Company employees highly value Research Analysts. They must analyze problems or situations thoroughly to explain them to customers or stakeholders. The majority of research analysts have domain expertise.
9. Data Modeler: The goal of a data modeler is to extract meaningful information from large amounts of data. The work of some of these workers involves creating computer programs for processing business data, analyzing it, and accepting it.
10. Average salaries for Analytics Jobs
It is possible that you will have a lower salary when you begin your career in analytics. Still, your compensation package will increase once you have gained a year or two of relevant experience.
Starting salaries for freshers are usually between 4.5 lakhs and 6 lakhs (minimum). It will amaze you to see the number of analyst openings in your domain for someone with at least two years of experience.
For first-year students who have just graduated from college! Remember to breathe! Take it easy! There is a need for fresh blood in this industry, but it also requires business expertise. Many career opportunities are available for graduates with advanced skills in analytics across a wide range of industries.
Common job titles used to describe professionals in this field are:
1. analytics and insights consultant
2. Web analytics associate
3. Business analytics specialist
4. Data analytics manager
5. Digital strategist
6. Marketing analyst
7. Operations analytics director
8. Workforce management analyst
9. Banking, finance, investment, and insurance
10. Health care/pharmacare
11. Human resources
13. Marketing and sales
14. Retailing, wholesaling, and supply chain
15. Transportation & logistics
Graduates are eligible for the following job positions:
1. Data Architect
2. Data Analyst
3. Data Scientist
4. Artificial Intelligence Developer
5. Machine Learning Developer
6. Robotics Developer
7. Bioinformatics Analyst
8. Data & Analytics Consultant
9. Backend Developer
10. Solutions Architect
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