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Data Analyst Computer Science Jobs in Toronto, ON

Belcan

Data Scientist

Mississauga, ON · On-site

... Analyze steady state and transient engine trend data in support of engineering studies -Support ... computer science, mechanical, aerospace, or related field. -Proficiency in multiple of the ...

BDO Canada

Senior Data Quality Analyst

Toronto, ON · On-site

CA$77K - CA$112K/yr

Bachelor's degree in Data Analytics, Computer Science, or a related field. * 5+ years of experience as a data quality analyst or in a closely related data analytics role. * Proficiency in SQL and ...

Deloitte

Data Science Manager

Toronto, ON · On-site

You will take a lead in delivering advanced analytics solutions and advisory services to high ... Computer Science, or a related field is required. • BA/BSc degree in these fields will be ...

Xplore Inc.

Data Scientist

Toronto, ON

Conduct exploratory data analysis and provide insights to inform business decisions * Document ... Bachelor's or Master's in a quantitative field (e.g., Computer Science, Statistics, Mathematics ...

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Data Analyst Computer Science information

Is AI replacing data analysts?

AI tools are automating certain data processing tasks, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like data visualization, statistical analysis, and domain knowledge that AI cannot fully replicate, so AI is more of a complement than a replacement in this field.

Can computer science work as a data analyst?

A computer science background can be highly relevant for a data analyst role, as it provides skills in programming, data management, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and a strong foundation in programming languages such as Python or R is beneficial. Certifications in data analysis or related fields can also enhance job prospects.

Can ISFJ be a data analyst?

Yes, individuals with the ISFJ personality type can be data analysts, as success in this role depends on skills such as attention to detail, analytical thinking, and proficiency with tools like Excel, SQL, or Python. While personality type can influence work style, technical skills and experience are more critical for performing effectively as a data analyst.

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

What are the key skills and qualifications needed to thrive as a Data Analyst in Computer Science, and why are they important?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.
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Data Analyst Computer Science jobs near you
Infographic showing various Data Analyst Computer Science job openings in Toronto, ON as of June 2026, with employment types broken down into 1% Internship, 48% Full Time, 45% Part Time, 4% Contract, and 2% Nights. Highlights an 81% Physical, 9% Hybrid, and 10% Remote job distribution.

Trauma Registry Data Analyst

Hamilton Health Sciences

Hamilton, ON

Part-time

Posted 8 days ago

Job description

Reporting to the Ontario Trauma Registry & Hamilton Health Sciences, the key accountabilities for the Trauma & Burn Research Analyst include: setting up and maintaining all logistics for the efficient running of a new burn data base and abstracting and collating data for the burn data base; and assisting in the abstracting, collating and maintenance of the data for the Trauma Registry as required. The Trauma & Burn Research Analyst will be required to do daily visits to the hospital units where both trauma and burn patients are admitted to abstract data coordination with the trauma and burn teams, ongoing collaboration with other healthcare professionals in the form of rounds and consultations and ongoing communication with various internal departments involved in the care of trauma and burn patients. In partnership with all stakeholders the Trauma & Burn Research Data Analyst will support trauma and burn related research within the organization and the region.

1. Post Secondary education in a health related field; graduate of Health Records Administration program preferred
2. Minimum 3 years experience in abstracting , coding (ICD-10) and data analyses
3. Strong working knowledge of computer applications and software packages such as MS Office
4. Strong working knowledge of Abbreviated Injury Scale (AIS) and Injury Severity Scoring (ISS 90,95)
5. Strong working knowledge of anatomy, physiology, medical terminology and disease process
6. Knowledge and ability to interpret outcome measurements
7. Working knowledge of electronic health record systems such as Sovera and Meditech
8. Demonstrated organizational, analytical, interpersonal and communication skills
9. Demonstrated ability for detailed quantitative and qualitative work and report writing
10. Demonstrated ability to create concise information reports
11. Ability to work effectively both independently and as part of a team
12. Clinical experience in Trauma and /or Burns preferred
13. Member of CHIMA preferred
14. Experience with research proposals and REB submissions an asset

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