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Data Analyst Computer Science Jobs in Toronto, ON

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 ...

Scotiabank

Manager, Data Analyst

Toronto, ON · On-site

The Manager, Data Analyst will work with Canadian Wealth Management Data Operations to provide data ... A University degree in quantitative discipline (mathematics, science, computer science, or ...

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 ...

Adastra Corporation

Data Product Analyst

Thornhill, ON · Remote

Bachelor's degree in Analytics, Computer Science, Business, Information Systems, Statistics, or a related field * 5+ years of experience in data analytics, product analytics, business analysis, or ...

Adastra Corporation

Data Product Analyst

Thornhill, ON · Remote

Bachelor's degree in Analytics, Computer Science, Business, Information Systems, Statistics, or a related field * 5+ years of experience in data analytics, product analytics, business analysis, or ...

Iris Software Inc.

BA - Data Analyst

Toronto, ON

Must have a bachelor's degree in computer science, information systems, or a related field, and 5 years of work experience. * Performing business analysis and requirements gathering for data ...

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 ...

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 ...

Alimentiv

Clinical Data Analyst

Toronto, ON · Remote

The Clinical Data Analyst (CDA) is a mid-level individual contributor role that supports the Data Sciences department in identifying requirements and building solutions towards enhancing clinical ...

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 ...

Tucows Inc.

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 ...

Charger Logistics Inc

Data Scientist

Brampton, ON · On-site

Bachelor's degree or equivalent in Data Analytics, Statistics, Mathematics, or Computer Science. * 4+ years of hands-on experience in data science and machine learning, delivering production-grade ML ...

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

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.
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 1% Internship, 48% Full Time, 45% Part Time, 4% Contract, and 2% Nights. Highlights an 81% Physical, 9% Hybrid, and 10% Remote job distribution.

Data Analyst

Rakuten Kobo

Toronto, ON • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 27 days ago

Job description

Job Description:

Here at Rakuten Kobo Inc. we offer a casual working start-up environment and a group of friendly and talented individuals. Our employees rank us highly in terms of commitment to work/life balance. We realize that for our people to be innovative, creative and passionate they need to feel valued and supported. We believe in rewarding all our employees with competitive salaries, performance based annual bonuses, stock options and training opportunities.


If you're looking for a company that inspires passion, personal, and professional growth - join Kobo and come help us on our mission of making reading lives better.

The Role:

Rakuten Kobo Inc. is seeking an experienced Data Analyst to join our Data Storytelling & Insights team, working closely with our engineering foundations. This role blends strong technical ownership of analyticsready data with the ability to translate complex information into clear, actionable insights. You'll work endtoend across the analytics lifecycle-building scalable, trusted data models and partnering with stakeholders to deliver dashboards and analyses that inform key business decisions.

Key Responsibilities:

  • Design, build, andmaintainanalyticsreadydata models and pipelines usingDataformandBigQuery, including migrating and modernizing legacy logic into clearer, more reusable, and better governed data assets.

  • Ensure analytics code and pipelines are reliable,welldocumented, and suited for downstream reporting, experimentation, and analysis.

  • Build andmaintainTableau dashboards and reports that are reusable, trustworthy, and grounded in centralized,wellmodeleddata.

  • Translate ambiguous business questions into clear analyses that explain what happened, why it happened, and what to do next.

  • Partner with business stakeholders and analytics peers to define requirements, metrics, and scalable analytics solutions.

  • Contribute to shared analytics standards and best practices across SQL,Dataform, Tableau, and documentation.

  • Leverage modern AI tools andLLMbasedcoding agents to accelerate analytics workflows (e.g., SQL development, modeling, debugging, documentation), while applying strong judgment tovalidatecorrectness, performance, and data quality.

The Skill Set:

Must-haves

  • 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 and models.

  • Strong SQL skills, including complex joins, window functions, and working withsemistructuredor nested data.

  • Solid understanding of data modeling and designing tables for downstream analytics and reporting use cases.

  • Strong analytical thinking,problemsolving, and communication skills.

  • Experience working with modern cloud data warehouses (BigQuerypreferred).

  • Handsonexperience withDataform(experience withdbtis a plus).

  • Experience with BI and visualization tools such as Tableau, Looker, or Domo.

  • Familiarity with analytics engineering best practices (e.g., testing, CI/CD for data).

Nice to haves

  • Experience usingLLMbasedcoding assistants to support analytics or data engineering workflows.

  • Working knowledge of Python for analysis, automation, orMLadjacentuse cases.

  • Familiarity with cloud platforms (Google Cloud Platform preferred).

  • Experience withGitbasedversion control and analytics workflow automation.

The Perks:

  • Flexible hours and hybrid remote working environment
  • Subsidized in-office lunches
  • Four extended long weekends in the summer
  • Full benefits starting from your first day
  • Paid Volunteer days, unlimited sick days, and 3% RRSP matching
  • Work From Anywhere Program for up to 3 months (90 days)
  • Lifestyle spending account
  • Talent and development training budget
  • Free Kobo device + free weekly e-book or audiobook
  • Weekly Kobo Tech University sessions
  • Maternity/paternity leave top up
  • Dog friendly office

About Rakuten Kobo Inc.
Rakuten Kobo Inc. is the world's digital bookseller created by and for booklovers. Owned by Tokyo-based Rakuten Group, Inc. and headquartered in Toronto, Rakuten Kobo's millions of worldwide users can read anytime, anywhere, and on any device. With a mission to make reading lives better for all, Rakuten Kobo connects readers to stories using thoughtful and personalized curation of eBooks and audiobooks, and the best dedicated eReaders and apps for reading. With the singular focus of making reading lives the best they can be, Kobo's open platform allows people to fit reading into more moments in their busy lives. To learn more about Rakuten Kobo, visit www.kobo.com.


Rakuten Kobo Inc. is an equal opportunity employer. Accessibility accommodations for candidates with disabilities participating in the selection process are available on request. Any information received related to accommodation needs of applicants will be addressed confidentially.


Rakuten Kobo would like to thank all applicants for their interest in this role however only qualified candidates will be shortlisted.


#RKIND

Five Principles for Success
Our worldwide practices describe specific behaviors that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success.
Always improve, Always Advance - Only be satisfied with complete success - Kaizen
Passionately Professional - Take an uncompromising approach to your work and be determined to be the best
Hypothesize - Practice - Validate - Shikumika - Use the Rakuten Cycle to succeed in unknown territory
Maximize Customer Satisfaction - The greatest satisfaction for our teams is seeing their customers smile
Speed!! Speed!! Speed!! - Always be conscious of time - take charge, set clear goals, and engage your team

Rakuten is an equal opportunity employer. Accessibility accommodations for candidates with disabilities participating in the selection process are available on request. Any information received related to accommodation needs of applicants will be addressed confidentially.

Rakuten would like to thank all applicants for their interest in this role however only qualified candidates will be shortlisted.

Beware of fraudulent job offers claiming to be from Rakuten. Rakuten does not send unsolicited job offers or request money during the recruitment process. Learn more: https://rakutenemploymentalert.com/

At the time of posting, Rakuten expects the Compensation (base salary + discretionary bonus) for this role to be within the range shown below. Individual compensation will vary based on job-related factors, including the skills, qualifications, and experience of the successful candidate as well as business need and geographic location. The successful applicant for this role will be eligible for stock options, health, vision, dental insurance, RRSP matching, Personal Time Off (PTO), Volunteer Time Off (VTO), and other employee benefits as the company implements.

CAD $97,020.00 - 147,020.00 annually

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