Job prospects Data Analytics Specialist in Ontario

Explore current and future job prospects for people working as a "data analytics specialist" in Ontario or across Canada.

Job opportunities in Ontario

These outlooks were updated on December 11, 2024.

Prospects over the next 3 years

The employment outlook will be moderate for Data scientists (NOC 21211) in Ontario for the 2024-2026 period.

The following factors contributed to this outlook:

• Employment growth will lead to a moderate number of new positions.
• Not many positions will become available due to retirements.

What Types of Employers Are Out There?

• Various industries, with the leading share employed in professional, scientific and technical services, mainly computer systems design and related services
• Finance and insurance companies, particularly banks

 

What are the Main Trends Affecting Employment?

• The importance of data analysis for evidence-based decision-making
• The growing need for data scientists to develop machine learning tools

 

What Skills Do I Need to Succeed?

• In addition to other formal education, experience using programming languages such as Python and Structured Query Language (SQL)
• Knowledge of Apache Spark and Power BI software is also common in job postings

 

What Other Information Will I Find Helpful?

• In general, Bridging Programs are available to assist internationally trained professionals in various fields enter the labour market more quickly in the province.

Here are some key facts about Data scientists in Ontario:

• Approximately 1,700 people work in this occupation.
• Data scientists mainly work in the following sectors:
  • Computer systems design services (NAICS 5415): 24%
  • Monetary Authorities - central bank and securities, commodity contracts and other intermediation and related activities (NAICS 521, 522, 523): 21%
  • Information and cultural industries (NAICS 51): 8%
  • Other professional, scientific and technical services (NAICS 5414, 5416-5419): 7%
  • Federal government public administration (NAICS 911): 6%
• 76% of data scientists work all year, while 24% work only part of the year, compared to 63% and 37% respectively among all occupations. Those who worked only part of the year did so for an average of 46 weeks compared to 43 weeks for all occupations.
• 6% of data scientists are self-employed compared to an average of 15% for all occupations.
• The gender distribution of people in this occupation is:
  • Men: 70% compared to 52% for all occupations
  • Women: 30% compared to 48% for all occupations
• The educational attainment of workers in this occupation is:
  • no high school diploma: less than 5% compared to 9% for all occupations
  • high school diploma or equivalent: 5% compared to 25% for all occupations
  • apprenticeship or trades certificate or diploma: less than 5% compared to 8% for all occupations
  • college certificate or diploma or university certificate below bachelor's: less than 5% compared to 22% for all occupations
  • bachelor's degree: 33% compared to 24% for all occupations
  • university certificate, degree or diploma above bachelor level: 56% compared to 13% for all occupations

Breakdown by region

Explore job prospects in Ontario by economic region.

Source Labour Market Information | Prospects Methodology

Job prospects elsewhere in Canada

Explore current and future job prospects for people working as a "data analytics specialist" in Ontario or across Canada.

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