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Data Analyst Computer Science Jobs in Toronto, ON

GFR Technologies SE

Data Analyst

Toronto, ON

Undergraduate degree in Computer Science, Information Systems, Mathematics, Statistics, Business Analytics, Engineering, Finance, or a related discipline. * 5-7 years of experience in Data Analysis ...

Rakuten Kobo

Data Analyst

Toronto, ON · On-site +1

Bachelor's degree in Computer Science, Data Science, or related field. * 5+ years of experience in data analytics, analytics engineering, or BI, withdemonstratedownership of analytics data pipelines ...

Teranet

Data Analyst

Toronto, ON

Statistics, Mathematics, Computer Science, Engineering * Minimum 2 years of work experience as a Data Analyst * Proficiency in SQL, Python and Excel * Advanced expertise in Tableau, or other BI tools

Wings Food Products

Senior Data Analyst

Toronto, ON · On-site

CA$60K - CA$80K/yr

Bachelor's degree in Business, Information Systems, Computer Science, Analytics, or related field. * 5+ years experience in data analytics, ERP systems, or project management. * Proven experience ...

Canadian Tire

Business Data Analyst

Oakville, ON · Hybrid

CA$2.0K/wk

Post-secondary education in Computer Science or related program Proficient in PLSQL and confident ... , master data Analytical mindset and critical thinking skills Advanced working knowledge of ...

Canadian Tire

Business Data Analyst

Oakville, ON · Hybrid

CA$2.0K/wk

Post-secondary education in Computer Science or related program Proficient in PLSQL and confident ... , master data Analytical mindset and critical thinking skills Advanced working knowledge of ...

Capital One

Senior Associate, Data Analyst

Toronto, ON · Hybrid

Bachelor's or Master's Degree in a quantitative field such as Data Analytics, Data Science, Computer Science, Engineering, Mathematics, Statistics, Economics, Finance or a related discipline. * At ...

Konrad

Data Analyst

Toronto, ON · Hybrid

CA$75K - CA$100K/yr

You will work closely with senior analysts, data scientists, engineers, product managers, designers, and business stakeholders across a variety of client engagements. With guidance and mentorship ...

GFD

Junior Data Analyst, Operations

Toronto, ON

CA$55K - CA$60K/yr

Position Profile The Junior Data Analyst reporting to the Director, Workforce and Operations is an ... Completion of post-secondary studies in Computer Science, Mathematics, Statistics or related ...

Tucows

Data Analyst

Toronto, ON · Remote

CA$79K - CA$88K/yr

This is a high-impact analytics position for someone who works at the intersection of data ... Range shown in $CAD for Canadian residents. Other countries will differ. Range may vary on a number ...

Sun Life Financial

Senior Data Analyst

King, ON

We are looking for a Senior Data Analyst to be accountable for analyzing the success of campaigns ... Undergraduate in Business, Statistics, Marketing or Computer Science (or equivalent university ...

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All JobsData Analyst Computer Science JobsData Analyst Computer Science Jobs in Toronto, ON

Data Analyst Computer Science information

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.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and having programming skills in languages such as Python or R is highly beneficial.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary based on experience, location, and industry. In general, they have higher-than-average starting pay compared to many entry-level roles, especially when skilled in tools like Excel, SQL, and data visualization software. Advanced skills or certifications can lead to higher compensation.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are difficult for AI to fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.
What are popular job titles related to Data Analyst Computer Science jobs in Toronto, ON? For Data Analyst Computer Science jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Data Analyst Computer Science jobs in Toronto, ON look for? The top searched job categories for Data Analyst Computer Science jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Data Analyst Computer Science jobs? Cities near Toronto, ON with the most Data Analyst Computer Science job openings:
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 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Data Analyst

GFR Technologies SE

Toronto, ON

Other

Posted 4 days ago

Job description

About the Role

We are seeking a skilled Data Analyst to join our growing team in Toronto. This position is ideal for an analytical professional with 5-7 years of experience transforming complex data into actionable business insights. You will work closely with business stakeholders, technology teams, and leadership to analyze data, develop reporting solutions, improve decision-making, and support strategic initiatives across the organization.

This role requires a strong combination of data analysis, business intelligence, stakeholder engagement, and data visualization expertise.

Location: Toronto, ON (Hybrid - mandatory office presence)
Employment Type: Full-Time

Key Responsibilities
  • Collect, analyze, validate, and interpret large datasets from multiple sources.
  • Develop and maintain dashboards, reports, KPIs, and scorecards using modern BI tools.
  • Translate business requirements into meaningful analytical solutions and reporting frameworks.
  • Perform data profiling, cleansing, validation, and quality assurance activities.
  • Identify trends, patterns, risks, and opportunities through data-driven analysis.
  • Create and maintain semantic models, datasets, and data dictionaries.
  • Support business stakeholders with ad hoc analysis and data-driven recommendations.
  • Partner with technical teams to improve data quality, governance, and reporting capabilities.
  • Develop and automate reporting processes to improve efficiency and accuracy.
  • Present findings and actionable insights to both technical and non-technical audiences.
  • Support data governance initiatives and ensure compliance with data management standards.
  • Participate in Agile delivery teams and contribute to continuous process improvements.
Required Qualifications
  • Undergraduate degree in Computer Science, Information Systems, Mathematics, Statistics, Business Analytics, Engineering, Finance, or a related discipline.
  • 5-7 years of experience in Data Analysis, Business Intelligence, Reporting, or Analytics roles.
  • Strong experience with:
    • SQL
    • Power BI
    • Excel (advanced functions, pivot tables, Power Query)
    • Data visualization and dashboard development
    • Data modelling and KPI reporting
  • Experience gathering and documenting business requirements.
  • Strong analytical and problem-solving abilities.
  • Experience performing data quality assessments and validation activities.
  • Excellent communication and stakeholder management skills.
  • Ability to communicate complex analytical findings in a clear and concise manner.
Preferred Qualifications
  • Experience working with Azure Data Platform, Databricks, or cloud-based analytics solutions.
  • Knowledge of Python for data analysis and automation.
  • Experience with Power Query (M), DAX, and semantic models.
  • Understanding of ETL/ELT processes and data transformation concepts.
  • Experience operating in Agile/Scrum environments.
  • Familiarity with data governance, metadata management, and reporting best practices.
  • Exposure to banking, financial services, insurance, public sector, or consulting environments.
Technical Skills Required
  • SQL
  • Power BI
  • DAX
  • Power Query
  • Excel (Advanced)
  • Data Analysis & Reporting
  • Dashboard Development
  • KPI & Performance Measurement
  • Data Validation & Quality Control
Nice to Have
  • Python
  • Databricks
  • Azure Data Services
  • ServiceNow Reporting
  • SharePoint
  • Azure DevOps
  • Git
Success Profile

The ideal candidate is:

  • Highly analytical and detail-oriented.
  • Comfortable working with large and complex datasets.
  • Curious and proactive in identifying business opportunities through data.
  • Skilled at balancing technical analysis with business context.
  • Able to work independently while collaborating effectively with cross-functional teams.
  • Passionate about delivering insights that drive measurable business outcomes.

Salary Range : 75-90k/year 

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