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Data Visualization Tableau Jobs in Ontario (NOW HIRING)

Rockstar

Senior Data Engineer

Toronto, ON

... data visualization tools such as Looker, Power BI, or Tableau - Familiarity with modeling structured and unstructured data, including NoSQL databases like MongoDB - A sharp, kind, and open-minded ...

AutoTrader.ca

Senior Data Analyst (m/f/d)

Toronto, ON · On-site +1

CA$110K - CA$140K/yr

Strong data visualization and storytelling skills (e.g., Tableau, QuickSight, Amplitude). * Experience with modern data platforms such as BigQuery, Snowflake, Redshift, Athena, or Databricks.

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 ...

IKO Industries, Inc

Global Data Manager

Mississauga, ON · On-site

CA$145K - CA$165K/yr

Proficiency on data visualization tools (e.g. Power BI, Tableau, etc.) * Strong understanding of data governance frameworks and compliance standards. * Expert with data quality concepts and process ...

Scotiabank

Data Platform Operations Analyst

Toronto, ON · On-site

Able to implement & enhance various dashboards through data visualization tool(s) such as Tableau or PowerBI * Strong communication skills (i.e.: spoken/written/presentation) to engage wide array of ...

Autodesk

Principal Data Scientist

Toronto, ON · On-site

CA$129K - CA$189K/yr

Visualization Solutions sits at the center of that shift, delivering consistent, modern graphics ... Proficiency with analytics and BI tools such as Looker, Tableau, Splunk, Mixpanel, or similar ...

Capital One

Senior Associate, Data Analyst

Toronto, ON · Hybrid

Ultimately, you will be a proactive collaborator, skilled at articulating complex ideas through data visualization tools like QuickSight, Tableau or Matplotlib and eagerly sharing your knowledge ...

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Data Visualization Tableau information

See Ontario salary details

$11

$50

$85

How much do data visualization tableau jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for data visualization tableau in Ontario is $50.37, according to ZipRecruiter salary data. Most workers in this role earn between $38.70 and $59.86 per hour, depending on experience, location, and employer.

What are some typical challenges faced by Data Visualization Tableau professionals in their daily work?

Data Visualization Tableau professionals often encounter challenges such as gathering and cleaning large, complex datasets before creating meaningful dashboards, as well as ensuring their visualizations accurately represent the underlying data for diverse audiences. Balancing the technical requirements with business objectives can be demanding, requiring regular communication with stakeholders to refine and clarify project needs. Additionally, staying updated with new Tableau features and best practices is essential for maintaining high-quality work. Overcoming these challenges leads to more impactful insights and greater value for the organization.

What are the key skills and qualifications needed to thrive in the Data Visualization Tableau position, and why are they important?

To thrive as a Data Visualization Tableau professional, you need expertise in data analysis, dashboard creation, and visual storytelling, typically supported by a degree in computer science, statistics, or a related field. Mastery of Tableau software, SQL, Excel, and familiarity with data integration tools or visualization certifications are commonly expected. Strong attention to detail, effective communication, and the ability to translate complex data into clear insights are crucial soft skills. These capabilities ensure impactful visualizations that drive business decisions and facilitate cross-functional collaboration.

What is a Data Visualization Tableau job?

A Data Visualization Tableau job involves using Tableau software to create interactive and insightful visual representations of data. Professionals in this role analyze datasets, design dashboards, and generate reports to help businesses make data-driven decisions. They work with stakeholders to understand data needs and optimize visual storytelling for better insights. This role requires proficiency in Tableau, SQL, and data analysis techniques. It is commonly found in industries like finance, healthcare, marketing, and technology.

What are popular job titles related to Data Visualization Tableau jobs in Ontario? For Data Visualization Tableau jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Visualization Tableau jobs in Ontario look for? The top searched job categories for Data Visualization Tableau jobs in Ontario are:
Data Visualization Tableau jobs near you
Infographic showing various Data Visualization Tableau job openings in Ontario as of June 2026, with employment types broken down into 3% Internship, 13% As Needed, 76% Full Time, 6% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $104,762 per year, or $50.4 per hour.

Vice President Enterprise Data & Analytics

Gore Mutual Insurance

Cambridge, ON • Hybrid

Other

Posted 13 days ago

Job description

The Vice President Enterprise Data & Analytics is accountable forestablishingand executing the data strategy to enable data-driven decision making, advanced analytics, and data innovation across the organization. This role ensureseffectivegovernance, architecture, and delivery of data platforms, analytics, and insights aligned with corporate priorities. 

The role exists to transform data into a strategic asset that drives underwriting performance, claims efficiency, customer experience, and operational excellence. Itleadsthe design and delivery of scalable data and AI capabilities, ensuring high-quality, trusted data while enabling advanced modeling and insights. 

Expected outcomes include modernized data infrastructure, enhanced business intelligence and analytics, improved regulatory and reporting capabilities, and measurable business value through data products and insights. 

Define and Lead Enterprise Data Strategy 

  • Develop and/or execute a multi-year data and analytics strategy aligned to business goals 
  • Establish data governance, quality, and stewardship frameworks across the organization 
  • Partner with executive leadership to prioritize data-driven initiatives and investments 

Deliver Scalable Data Engineering & Platforms 

  • Partner with IT to oversee design and implementation of modern data architecture (data lakes, warehouses, cloud platforms) 
  • Ensure reliable, secure, and efficient data pipelines and integration across core insurance systems 
  • Drive adoption of scalable tools, platforms, and engineering best practices 

Enable Advanced Analytics & Data Science 

  • Lead development of predictive models and AI solutions supporting underwriting, pricing, claims, and customer insights 
  • Establish frameworks for model governance, validation, and ethical AI practices 
  • Translate complex analytics into actionable business insights 

Business Intelligence & Data Enablement 

  • Deliver enterprise reporting, dashboards, and self-service analytics capabilities 
  • Drive data literacy and adoption across business units 
  • Ensure regulatory, financial, and operational reporting isaccurate,timely, and auditable 

Leadership & Talent Development 

  • Lead and develop a high-performing team of Directors across Data Engineering, Analytics, and Data Science 
  • Establish organizational design, capabilities, and succession plans 
  • Foster a culture of innovation, accountability, and continuous improvement 

 

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. 
  • Ten (10) or more years of progressive experience in data engineering, analytics, or related domains, including Five (5) or more years in executive leadership roles. 
  • Proven success in leading data transformations and delivering measurable business outcomes. 
  • Deep expertise in a combination of the below:
    • Cloud platforms (Azure, AWS, GCP)
    • Data lakehouse/warehouse (e.g., Databricks, Snowflake)
    • ETL/ELT tools and orchestration frameworks
    • Programming languages (Python, SQL)
    • Data visualization (e.g., Tableau, Power BI)
  • Strong understanding of data governance, security, and compliance frameworks. 
  • Demonstrated ability to influence at all levels and communicate complex data concepts to non-technical stakeholders. 
  • Experience managing budgets, vendor contracts, and cross-functional initiatives. 

Additional helpful experience:

  • Certified Analytics Professional (CAP) 
  • Cloud certifications (AWS, Azure, GCP) 
  • Prior experience in the insurance industry

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