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Data Visualization Jobs in Toronto, ON (NOW HIRING)

KPMG

Data Support Senior 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 ...

KPMG

Data Support Senior Consultant

Vaughan, 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 ...

KPMG

Data Support Senior 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 ...

ZoomInfo Technologies LLC

Data Scientist II

Toronto, ON · Remote

Proficiency in Python and SQL, and experience with data visualization tools such as Tableau. * Experience working with cloud data and ML platforms such as Snowflake, Databricks, or Google Cloud ...

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Rockstar

Senior Data Engineer

Toronto, ON

A Sr. Data Engineer is sought to join the team. This individual will play a key role in evolving ... AWS SageMaker - Visualization and reporting: Looker - Infrastructure: AWS ecosystem (S3, Lambda ...

Cogeco

Data Scientist

Burlington, ON · On-site

Experience with data visualization tools preferred - Tableau, PowerBI, Looker, Plotly, etc. Agile/Digital Experience: * Openness to working in Agile environments with multiple stakeholders.

Konrad

Data Analyst

Toronto, ON · Hybrid

CA$75K - CA$100K/yr

Experience with Business Intelligence and data visualization tools (e.g., Looker, Tableau, Power BI) * Foundational understanding of data modeling and analytics best practices * Experience defining ...

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Data Visualization information

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$32

$49

$69

How much do data visualization jobs pay per hour?

As of Jun 11, 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.

Can I learn data analyst in 3 months?

Becoming a data analyst in three months is possible with intensive study of core skills such as data manipulation, visualization, and tools like Excel, SQL, and Tableau. However, mastering the role typically requires ongoing learning and practical experience, especially for complex analysis tasks and industry-specific knowledge.

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.

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.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization tools are better positioned to adapt to these technological changes.

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, understanding of data, and the ability to communicate insights effectively, often with a background in statistics or computer science. The field offers growth opportunities as organizations increasingly rely on visual data to inform decisions.

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 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 jobs do data visualization?

Data visualization jobs include roles such as data analyst, data scientist, business intelligence analyst, and data visualization specialist. These roles involve creating visual representations of data using tools like Tableau, Power BI, or Python to help organizations interpret complex information and support decision-making.
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 June 2026, with employment types broken down into 100% Full Time. Highlights an 54% In-person, 17% Hybrid, and 29% Remote job distribution, with an average salary of $102,861 per year, or $49.5 per hour.

Cost Control Data Analyst

Trillium Rail Partners

Mississauga, ON • On-site

Other

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago

Job description

Salary: $100,000-$140,000

About the Project:


The Eglinton Crosstown West Extension will bring the Eglinton Crosstown LRT another 9.2 kilometers farther west, creating a continuous rapid transit line from the east end of Toronto into Mississauga. The Stations, Rail, and Systems (SRS) package encompasses the design, construction, integration, and commissioning of key project components.


Position Overview:


The Cost Control Data Analyst plays a key role within the Commercial department by transforming project cost data into actionable insights. This role focuses on data integration, analysis, and visualization to enhance cost forecasting accuracy, monitor financial performance, and support strategic decision-making.

Working cross-functionally with Finance, Procurement, Project Controls, and Construction Management, the analyst ensures data consistency across systems and develops scalable reporting solutions to improve cost visibility and project outcomes.



Key Responsibilities:

  • Cost forecasting through data-driven models, scenario analysis, and predictive insights.
  • Design and optimize data structures aligned with the Cost Breakdown Structure (CBS) to improve reporting efficiency and traceability.
  • Develop and maintain automated cost reporting tools, dashboards, and data models to support project performance tracking.
  • Ensure data quality, governance, and standardization across project control systems.
  • Analyze cost data (actuals, commitments, forecasts) to identify trends, variances, and financial risks.
  • Integrate and reconcile data from multiple sources (ERP systems, procurement tools, scheduling platforms) to ensure consistency and reliability.
  • Collaborate with project teams to translate business requirements into analytical solutions and reporting outputs.
  • Monitor key performance indicators (KPIs), including earned value metrics, and provide insights on project performance.
  • Support change management analysis by quantifying cost impacts using historical data and trend analysis.
  • Track and allocate project expenses, ensuring proper cost code assignment and alignment with budgeted work items.


Qualifications:

  • Minimum 5 years of experience in data analysis, project controls, or cost control within construction or infrastructure projects.
  • Bachelors degree in engineering, Data Analytics, Finance, Economics, or related field.
  • Advanced proficiency in Excel; strong experience with SQL and data manipulation.
  • Experience with data visualization tools (e.g., Power BI, Tableau).
  • Understanding of cost control principles, budgeting, and forecasting in project environments.
  • Familiarity with earned value management (EVM) and project scheduling concepts (CPM).
  • Strong analytical and problem-solving skills with the ability to interpret complex datasets.



What TRP Can Offer You:

  • Competitive Salary
  • Medical, dental, and vision insurance
  • Employer Matching Retirement Program
  • Life insurance


At TRP, we are committed to providing an environment of mutual respect where equal opportunities are available to all applicants and teammates. Accommodation is available upon request for applicants throughout the recruitment and selection process.


We thank all applicants for their interest. However, only those selected for an interview will be contacted.