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Data Visualization Jobs in Ontario (NOW HIRING)

Marinabaysands

Proficient in data visualization tools, such as Tableau preferred. Other Prerequisites * Ability to process massive amounts of data and complete critical projects in a correct, accurate and timely ...

Omnicom

Data Analyst

Toronto, ON · Hybrid

... data visualization and executive presentations Ideal Candidate would have:University Degree in Engineering / Computer Science / Mathematics /Statistics / Engineering /Operations Research or a ...

KPMG

Data Consultant

Toronto, ON · On-site

In addition, they provide critical support with data analysis, reporting and data visualization. This work will enable us to deliver innovative solutions to our clients. This position requires ...

Larus Technologies

Data Scientist

Ottawa, ON · On-site

Perform data analysis, visualization, and modelling with large datasets; * Independently interacting clients, explaining technical concepts to technical and non-technical stakeholders; * Perform data ...

OSL Retail Services Inc

Data Engineer

Mississauga, ON · On-site

Familiarity with data visualization tools * Proven abilities to take initiative and be innovative and collaborative. * Positive and supportive tone, attitude, and work ethic The salary for this role ...

Scotiabank

Data Analyst

Toronto, ON · On-site

Experience with data visualization tools such as Power BI, Tableau, or similar platforms. Advanced Excel proficiency. Experience with Python or R is an asset. Familiarity with cloud and data ...

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All JobsData Visualization JobsData Visualization Jobs in Ontario

Data Visualization information

What is data visualization?

Data visualization is the process of taking statistical data and preparing it in a visual context that is easier to understand. You use software and graphics to demonstrate patterns, correlations, and trends that appear more significant when viewed outside of a written context. Visual representation comes in the form of infographics, heat maps, geographic maps, and detailed pie or bar charts. Business intelligence recognizes the need for appropriate colors and images and is now standard for modern organizations. Data visualization is also a reporting tool that tracks performance and generates dashboards to observe click-through rates digital marketing campaigns.

What is data visualization?

Data visualization is the process of representing data and information in a graphical or pictorial format, such as charts, graphs, or maps. This practice helps people understand complex data sets more easily by highlighting patterns, trends, and outliers. Data visualization is widely used in various industries to support decision-making, communicate insights, and make data more accessible to a broader audience.

What are the key skills and qualifications needed to thrive as a data visualization specialist, and why are they important?

To thrive as a Data Visualization Specialist, you need strong analytical abilities, a solid foundation in statistics, and proficiency with data visualization principles, typically supported by a degree in data science, computer science, or a related field. Familiarity with visualization tools such as Tableau, Power BI, or D3.js, and experience with data processing languages like Python or R, are commonly required. Creativity, attention to detail, and effective communication skills help convey complex data insights clearly to diverse audiences. These skills ensure that data is transformed into actionable, visually compelling insights that drive informed decision-making within organizations.

What are some common challenges faced by professionals in data visualization roles, and how can they be addressed?

Professionals in Data Visualization often encounter challenges such as translating complex datasets into clear, meaningful visuals and ensuring that visualizations are both accurate and accessible to diverse audiences. Balancing aesthetic appeal with functionality can also be demanding, as visuals must communicate insights without causing confusion. To address these challenges, effective collaboration with data analysts, subject matter experts, and end-users is essential, as is staying current with best practices and visualization tools. Regular feedback and iteration help refine visualizations to best meet stakeholders' needs.

What is the difference between Data Visualization vs Data Analyst?

AspectData VisualizationData Analyst
Primary FocusCreating visual representations of dataAnalyzing and interpreting data
SkillsData visualization tools, graphic design, storytellingStatistical analysis, Excel, SQL, data interpretation
ToolsTableau, Power BI, D3.jsExcel, SQL, R, Python
Work EnvironmentDesign-focused, often collaborative with data teamsAnalytical, research-oriented, cross-departmental

Data Visualization specialists focus on creating visual representations to communicate data insights effectively, while Data Analysts analyze data to uncover trends and inform decisions. Both roles often collaborate but serve different core functions within data-driven organizations.

Does data visualization pay well?

Data visualization professionals typically earn competitive salaries, especially with skills in tools like Tableau, Power BI, or D3.js. Salaries vary based on experience, location, and industry, but the role is generally well-compensated compared to other entry-level tech positions.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, knowledge of data tools, and the ability to communicate insights effectively, making it a growing field with demand across many industries.

What jobs use data visualization?

Data visualization is used in a variety of roles such as data analyst, business intelligence analyst, data scientist, and dashboard developer. These jobs require skills in tools like Tableau, Power BI, or Excel to interpret and communicate data insights effectively.

What skills are needed for data visualization jobs?

Data visualization jobs require skills in data analysis, proficiency with visualization tools like Tableau, Power BI, or D3.js, and a strong understanding of design principles to create clear, effective visuals. Knowledge of programming languages such as Python or R and the ability to interpret complex data sets are also important. Additionally, good communication skills help in presenting insights effectively to stakeholders.
More about Data Visualization jobs

What are the most commonly searched types of Data Visualization jobs in Ontario?

The most popular types of Data Visualization jobs in Ontario are:

What are popular job titles related to Data Visualization jobs in Ontario?

For Data Visualization jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Data Visualization jobs in Ontario look for?

The top searched job categories for Data Visualization jobs in Ontario are:

What cities in Ontario are hiring for Data Visualization jobs?

Cities in Ontario with the most Data Visualization job openings:

Data Visualization jobs near you
Infographic showing various Data Visualization job openings in Ontario as of September 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution.

Sr. Data Analytical Specialist/Scientist - Contract 6 Months - Toronto (Hybrid)

Toronto, ON • Hybrid

CorGTA
See more jobs at CorGTAexternal

CA$80/hr

Full-time

Re-posted 24 days ago

Job description

Position:Sr. Data Analytical Specialist/Scientist
Location:Hybrid, 3x per week in office (Toronto, Downtown)
Structure: Contract 6 months to start
Pay:Up to $80.00 p/h inc.

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We have a great new opportunity to support one of our Public Sector clients in a contract capacity!

Please see below for more information on the position and if interested apply with an updated resume aligned to the needs of the role.

Requirements:

  • Strongexperience indata mapping,data modeling, ordata migration projects
  • Proficiency in:
    • SQL(intermediate to advanced)
    • Data analysis and profiling techniques
    • Excel or other analysis tools
    • Data visualization tools (Power BI)
  • Understanding of relational databases, structured data, and data integration patterns
  • Ability to interpret and document data transformation logic clearly
  • Strong communication and documentation skills
  • Bachelors degree in Data Science, Information Systems, Computer Science, Business Analytics, or related
  • 8+years experienceData Mapping & Documentation
  • 8+years experienceData Quality & Validation
  • 8+years experienceAzure

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CorGTA is an equal opportunity employer, please apply with an updated resume and ensure the required skills you are able to speak to for this position are included.

At times, CorGTA or itsclient partners may utilize AI tools to assist with the hiring processes.

For more roles like this, please go towww.corgta.com/find-a-job/