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Remote Data Visualization Jobs in Quebec (NOW HIRING)

Lead the creation & development of a standard library of reporting and/or analysis solutions (report, dashboard, visualization, or other) for Data Sciences and other stakeholders. * Gather ...

Lead the creation & development of a standard library of reporting and/or analysis solutions (report, dashboard, visualization, or other) for Data Sciences and other stakeholders. * Gather ...

Lead the creation & development of a standard library of reporting and/or analysis solutions (report, dashboard, visualization, or other) for Data Sciences and other stakeholders. * Gather ...

Provide data visualization using specified tools (Power Bi, MS Office, PowerPoint) * Perform data analysis and create arguments based on statistical data * Discover useful information and conclude to ...

Senior Database Developer

Quebec, QC ยท Remote

$95K - $110K/yr

... Data Developer for our client. This is a permanent position, remote! Our client is a large fintech ... Experience with visualization tools like Power BI and Tableau * Experience working in a cloud ...

Senior Database Developer

Montreal, QC ยท Remote

$95K - $110K/yr

... Data Developer for our client. This is a permanent position, remote! Our client is a large fintech ... Experience with visualization tools like Power BI and Tableau * Experience working in a cloud ...

Senior Database Developer

Montreal, QC ยท Remote

$95K - $110K/yr

... Data Developer for our client. This is a permanent position, remote! Our client is a large fintech ... Experience with visualization tools like Power BI and Tableau * Experience working in a cloud ...

Senior Database Developer

Quebec, QC ยท Remote

$95K - $110K/yr

... Data Developer for our client. This is a permanent position, remote! Our client is a large fintech ... Experience with visualization tools like Power BI and Tableau * Experience working in a cloud ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

Senior SQL Developer

Montreal, QC ยท Remote

$95K - $110K/yr

This is a permanent position, remote! Our client is a large fintech firm with a product that you've ... Experience with visualization tools like Power BI and Tableau * Experience working in a cloud ...

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Remote Data Visualization information

See Quebec salary details

$10

$46

$84

How much do remote data visualization jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for remote data visualization in Quebec is $46.84, according to ZipRecruiter salary data. Most workers in this role earn between $28.85 and $60.82 per hour, depending on experience, location, and employer.

What is remote data visualization?

Remote data visualization refers to the practice of creating interactive charts, graphs, and dashboards to represent data insights, while working outside of a traditional office environment. Professionals in this field use tools like Tableau, Power BI, or D3.js to help organizations make informed decisions by presenting complex data in an understandable visual format. Working remotely allows data visualization specialists to collaborate with teams across different locations using cloud-based platforms and virtual communication tools.

What are remote data visualization jobs?

A remote data visualization job allows you to work from home while assisting with the process of data visualization projects for a company. Your responsibilities may include reviewing analytics, creating engaging and interactive tools, portraying data in a visual way, developing presentations, interpreting data, and collaborating with other departments. You handle modeling, create charts and graphic depictions, gather datasets, produce reports, measure performance, and fulfill additional project duties as needed. You can find data visualization positions in various industries. Data visualization specialist, data visualization analyst, data visualization engineer, and data visualization director are some common job titles.

How do remote data visualization specialists typically collaborate with cross-functional teams to deliver insights?

Remote data visualization specialists often work closely with data analysts, engineers, and business stakeholders via virtual collaboration tools. Regular video meetings, shared dashboards, and real-time feedback channels help ensure that visualizations align with project goals and stakeholder needs. Clear communication and documentation are essential for managing expectations and iterating on designs. Building strong relationships with distributed teams and being proactive in seeking and providing feedback are key to delivering effective data-driven stories.

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

To thrive as a Remote Data Visualization Specialist, you need a strong background in data analysis, statistical concepts, and visual storytelling, often supported by a degree in computer science, statistics, or a related field. Expertise in tools such as Tableau, Power BI, or D3.js, as well as proficiency with programming languages like Python or R, is typically required. Excellent communication, creativity, and problem-solving skills help you convey complex data insights clearly and collaborate effectively with remote teams. These competencies are crucial for transforming raw data into actionable insights that drive informed business decisions in a virtual work environment.

What is the difference between Remote Data Visualization vs Remote Data Analyst?

AspectRemote Data VisualizationRemote Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; proficiency in visualization toolsDegree in Data Analysis, Statistics, or related; strong analytical skills
Work EnvironmentPrimarily focused on creating visual representations of data, often using tools like Tableau, Power BIAnalyzing datasets, generating reports, and providing insights, often using Excel, SQL, and statistical software
Industry UsageUsed across tech, finance, marketing, and consulting firms for presenting data insights visuallyCommon in finance, healthcare, retail, and marketing for data interpretation and decision-making

Remote Data Visualization specialists focus on designing visual data representations to communicate insights effectively, while Remote Data Analysts analyze data sets to generate actionable insights. Both roles require analytical skills, but their core tasks and tools differ, making them distinct yet complementary positions in data-driven organizations.

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

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

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

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

What cities in Quebec are hiring for Remote Data Visualization jobs?

Cities in Quebec with the most Remote Data Visualization job openings:

Clinical Data Analyst

Alimentiv

Quebec, QC โ€ข Remote

Full-time

Re-posted 23 days ago


Job description

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 study data reporting and analytics capabilities.ย  This role will support in the development of advanced analytical solutions, better supporting internal and external stakeholders needs in summarizing clinical study data. This role will also enable operational quality and efficiency through the generation and analysis of departmental operational and performance metrics.
ย 
Reporting Standards Management
  • Lead the creation & development of a standard library of reporting and/or analysis solutions (report, dashboard, visualization, or other) for Data Sciences and other stakeholders.
  • Gather requirements from a cross-functional group to a particular study question or operational activity.
  • Build & configure solution to meet the requirements.
  • Lead validation activities to prepare reporting solutions for release/usage.
  • Gather (as needed) and collaborate with volunteer stakeholder group to support validation activities.
  • Contribute to the Data Standards Governance Committee (DSGC) for the management of standard reports.
  • Maintain ongoing updates to standard report templates.
  • Support training for the Data Sciences team of new standard reports/solutions.
Study-Specific Reporting Deployment
  • Deploy standard reporting solutions for use on a study-specific basis.
  • Create & develop ad hoc reporting and/or analysis solutions - report, dashboard, visualization, or other - as requested by study team members.
  • Gather requirements from study team member(s) for ad hoc solutions.
  • Build & configure ad hoc solutions to meet the requirements.
  • Support report requestor in validation activities of study-specific ad hoc solutions to prepare for release/usage.
  • Support long-term maintenance of study-specific solutions and contribute to investigating issues, as raised by study team members.
Department Operational & Performance Analysis
  • Identify requirements with Data Sciences leaders to measure & monitor operational and performance metrics.
  • Design, build, and maintain metrics governance within Data Sciences.
  • Work with large data sets to analyze operational & study data and deliver reporting that outline areas for process & performance improvement/optimization (inefficiencies, inaccuracies, and other issues) to Data Sciences leadership.
Technical Systems
  • Participate in the strategy, management and integration of data reporting systems that impact Data Sciences, including the assessment, integration, build of vendor systems and Alimentiv technologies.
  • Act as a technical system subject matter expert; perform validation and testing of systems.
  • Help gather and determine requirements for relevant technical systems, with cross-functional groups or other Business/Process analysts. Work closely with other technical roles (Data Management, Database Programming, Statistics, Enterprise Analyses, etc.) to drive data governance and excellence.
  • Assess ways to further leverage existing systems to optimize internal efficiencies and processes.
  • Support Data Sciences contribution to a Data Warehouse, contributing to key decisions and strategy.
  • While evaluating new projects or requests for enhancements, help determine the project cost, timeline, goals and feasibility and then support the project through completion.
Qualifications
  • Minimum of a Bachelor's degree + 4-6 years of related experience.
  • Strong analytical skills
  • Visual design and aesthetic sense to produce appealing and intuitive outputs
  • Proficiency with data visualization tools (i.e., PowerBI, Tableau, Spotfire, etc)
  • Skilled data storyteller to communicate complex information in clear and effective manner
  • Strong collaborator
  • Preference to certificate in data analysis, data visualizations, or technical solutions (i.e., PowerBI, Tableau, Spotfire, etc.)
  • Preference to prior Clinical Research and/or Clinical Data Management experience.
Working Condition
  • Home-based
$89,000 - $148,000 a year
+ bonus
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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