ZipRecruiter

Log In

1

Data Visualization Jobs in Toronto, ON (NOW HIRING)

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 ...

Epistemix

Data Scientist

Toronto, ON · Remote

Work with customer teams to understand their goals and help develop data integration, modeling, and visualization plans to support decision making * Collaborate with customer and internal teams to ...

KPMG

Data Consultant

Toronto, ON

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 ...

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 ...

previous pagenext page

Showing results 21-40

All JobsData Visualization JobsData Visualization Jobs in Toronto, ON

Data Visualization information

See Toronto, ON salary details

$32

$49

$69

How much do data visualization jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data visualization in Toronto, ON is $49.45, according to ZipRecruiter salary data. Most workers in this role earn between $37.39 and $60.10 per hour, depending on experience, location, and employer.

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 Toronto, ON?

The most popular types of Data Visualization jobs in Toronto, ON are:

What are popular job titles related to Data Visualization jobs in Toronto, ON?

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

What job categories do people searching Data Visualization jobs in Toronto, ON look for?

The top searched job categories for Data Visualization jobs in Toronto, ON are:

Data Visualization jobs near you
Infographic showing various Data Visualization job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $102,861 per year, or $49.5 per hour.

Data Analyst

Omnicom

Toronto, ON • Hybrid

Full-time

Posted 22 days ago

Job description

Agency:

TBWA

Job Function:

Data and Analytics

Job Subfunction:

Data Science and Analytics

Job Description:

Are you an avid data analyst looking for an exciting career in the world of media? Are you obsessed with ROI? Do you like optimizing stuff? Look no further than this data and analytics team working for one of the top automotive companies in Canada. We at TBWA look to uncover key business insights and solve complex problems with the power of data.
Responsibilities:
Work closely with business stakeholders to understand business requirements; find and analyze appropriate data sources and provide data-driven solutions to key business problems
Help build, maintain and improve the data pipelines and data warehouses that power the team's reporting and analysis
Support the development and maintenance of media optimization models - e.g. market mix models and media investment planning - working alongside senior analysts
Help maintain and enhance existing machine learning models, and monitor and analyze their performance on an ongoing basis
Contribute to audience and ad campaign planning and measurement solutions on a proprietary data platform
Work closely with media, strategy and creative teams in an agency setup to provide overall data analytics support for planning and executing media campaigns
Develop and maintain strategic business performance Tableau dashboards
Analyze competitive landscape and provide regular share of voice and share of market analyses and projections
Explain results of complex data solutions and advanced models to a broad business audience through data visualization and executive presentations
Ideal Candidate would have:University Degree in Engineering / Computer Science / Mathematics /Statistics / Engineering /Operations Research or a quantitative field
Must Haves
Curiosity and attention to detail
2-3 years of experience in data analytics or data science, ideally in a media or marketing environment
Fluency in SQL and Python & MS Excel
Fluency with data, analytics, and visualization technologies (we use SQL, Python, Tableau)
Nice to haves
Experience in media agency or marketing is a strong plus
Knowledge of media mix modeling, multi-touch attribution and other forms of ROI modeling
Experience with Google Marketing Products (GA360/4, DV360, SA360, GOOGLE ADS, CM360)
At TBWA we respect and value differences and we pride ourselves in attracting diverse talent from around the world. We encourage and foster an environment in which everyone feels respected and comfortable bringing their authentic selves to work. We appreciate people from different backgrounds with different points of view as this fosters creativity and enhances the quality of our work. We are an inclusive employer and recruit, employ, train, compensate and promote regardless of race, religion, colour, national origin, sex, disability or age. We offer reasonable accommodations to job applicants with disabilities. Accommodations or assistance due to a disability are available upon request for candidates taking part in all aspects of the selection process. All resumes will be reviewed and those selected for interviews will be contacted. 75,000-85,000

Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom's corporate group already require five days of in-office attendance.


Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.


Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice/

Apply