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Data Visualization Jobs in Quebec (NOW HIRING)

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 ...

Visualization Solutions sits at the center of that shift, delivering consistent, modern graphics and interaction across web, mobile, and desktop. We are seeking a Principal Data Scientist to partner ...

Your future role Take on a new challenge and apply your analytical and data visualization expertise in a new cutting-edge field. You'll work alongside dynamic and collaborative teammates. You'll play ...

Proficiencyin Power BI for reporting and data visualization. Benefits * Group insurance * Telemedicine * Employee and Family Assistance Program * Group RRSP * CAE Pension Plan / Defined Benefit Plan

Data Engineer

Montreal, QC ยท Remote

$60 - $90/hr

Experience with data warehousing, reporting, visualization, or automation platforms such as Make.com is considered an asset. Strong communication skills and ability to work independently within a ...

Advanced Tableau proficiency for dashboard creation and data visualization Intermediate knowledge of English is required because you will most of the time interact in English with external parties ...

A minimum of four years of relevant data visualization experience * Please note that other combinations of qualifications and relevant experience may be considered * Knowledge of French is required

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Data Visualization information

See Quebec salary details

$33

$51

$73

How much do data visualization jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for data visualization in Quebec is $51.82, according to ZipRecruiter salary data. Most workers in this role earn between $39.18 and $62.98 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.

Is 40 too late for data science?

Data visualization is a key skill in data science, and individuals can successfully transition into this field at any age, including 40. Building relevant skills such as proficiency in tools like Tableau or Power BI, along with foundational knowledge in statistics and programming, can facilitate entry regardless of age, as employers value experience and diverse perspectives.

Can I be a data analyst with no experience?

Data analysts typically need some familiarity with data analysis tools like Excel, SQL, or visualization software such as Tableau. While prior experience is often preferred, entry-level positions may be available for those who demonstrate strong analytical skills and a willingness to learn through courses or certifications. Building a portfolio of projects can also improve chances of securing a data analyst role without formal experience.

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 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 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 positions involve creating visual representations of data using tools like Tableau, Power BI, or Python to help organizations interpret complex information and support decision-making.
What are popular job titles related to Data Visualization jobs in Quebec? For Data Visualization jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Visualization jobs in Quebec look for? The top searched job categories for Data Visualization jobs in Quebec are:
Infographic showing various Data Visualization job openings in Quebec as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $107,782 per year, or $51.8 per hour.
Senior Data Analyst (Project Based)

Senior Data Analyst (Project Based)

Amber

Montreal, QC โ€ข On-site, Remote

Contractor

Re-posted 6 days ago


Job description

About us:
At Amber, we're always on the hunt for the most talented individuals in the industry to join our team. We're dedicated to delivering top-notch service to our customers and know that our employees are key to making that happen. We offer attractive compensation packages and plenty of chances to grow with us, and we're always on the lookout for ways to do things better. Our team works together towards common goals, and we value each member's contributions to our mission of continuous improvement and innovation.
About the role:
Hello talented professionals! We're currently looking to expand our pool of talent and invite skilled individuals to join us by applying to this job posting. While specific positions may not be available immediately, we're proactively building a network of qualified candidates for future paid partnerships.
We are looking for a senior Data Analyst that can be not only an employee of a great team but also a partner in our approaches.
So, ifYOUlike challenges, working with high volume of data and interpretation methods, ifYOUare a forward thinker and understand how numbers contribute to better decisions and decision-making process, as well as the game industry, thenAMBERis the right place forYOU.
Here's what you can expect:
  • Profile Preselection: Our Talent Acquisition team will review your profile to ensure it aligns with our requirements and values
  • Talent Acquisition Interview: Selected candidates will undergo an initial interview to discuss about their experience, skills, and fit for the role.
  • Online Test: Qualified candidates will be invited to complete an online assessment to demonstrate their abilities.
  • Technical Interview: Finalists will participate in a technical interview to assess their proficiency and compatibility with our team when a project staffing plan is made.
We're committed to finding the best talent to join our growing team, and we look forward to connecting with you throughout this exciting process.

The Quest:
  • Define a build data tracking methods and processes
  • Work with engineers to create data tracking framework
  • 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 facilitate decision making process
  • Prototype new solutions based on team needs and manager direction
  • Provide visibility and analysis of data trends
The Skills:
  • At least 5 years of proven work experience with data mining and analysis tools
  • Good knowledge of Power BI, Tableau and/or looker
  • Excellent communication skills and English fluency
  • You have a passion for quantitative analysis, understanding player behavior and will have the ability to draw business insights
  • Proven experience working with front-end development frameworks
  • Good understanding of database applications and frameworks
  • Capability of staying focused in a very dynamic environment
  • Able to prioritize work, analytical thinking and problem-solving skills
Nice to have:
  • Advanced frond-end/back-end development experience
  • University degree in Computer Science, Mathematics and/or similar
  • SQL knowledge and experience in reporting
  • Data analytics and statistics courses and diplomas
  • Knowledge or previous experience of the Gaming industry
  • Knowledge of Jira, Confluence and SharePoint
The Reward:
  • Competitive project-based compensation
  • Opportunity to work on exciting and diverse projects
  • Clear communication and support throughout the project duration.
  • Flexibility in project timelines and deadlines.
  • Potential for long-term collaboration on future projects.
  • Transparent and fair evaluation of your work.

As English is our working language, candidates are required to submit their CV in English. Applications not meeting this requirement may not be reviewed.

Employment Type: Contractor