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Data Analyst Ai Jobs in Quebec (NOW HIRING)

The Data & Analytics group is looking for a Data Architect with, BI and AI expertise who will be providing consulting services to our customers. The candidate * Is a senior Data architect that can ...

As a Data & AI Solution Architect, you will provide strategic technical leadership in the design ... Define and govern enterprise BI and analytics consumption architecture, including semantic layers ...

Overview of the Role The Data & Analytics Crew Lead (Senior Director) occupies a hybrid leadership ... Chair the Data & AI Governance Committee: Serve as the permanent Chair of the cross-functional ...

Data & AI Enablement * Prepare, transform, and structure data to support analytics and artificial intelligence use cases. * Collaborate with data scientists to facilitate access to reliable and ...

Data & AI Enablement * Prepare, transform, and structure data to support analytics and artificial intelligence use cases. * Collaborate with data scientists to facilitate access to reliable and ...

Showing results 41-60

Data Analyst Ai information

See Quebec salary details

$12

$43

$78

How much do data analyst ai jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data analyst ai in Quebec is $43.96, according to ZipRecruiter salary data. Most workers in this role earn between $27.40 and $61.30 per hour, depending on experience, location, and employer.

What is a data analyst AI?

A Data Analyst AI is a professional who uses artificial intelligence tools and techniques to analyze and interpret complex data sets. They leverage machine learning algorithms, statistical models, and data visualization tools to uncover trends, patterns, and insights that help organizations make data-driven decisions. In addition to traditional data analysis skills, Data Analyst AI professionals are proficient in programming languages like Python or R and are familiar with AI frameworks. Their work often involves cleaning and preparing data, building predictive models, and communicating findings to stakeholders. This role bridges the gap between data analysis and AI-driven solutions.

How does a data analyst AI typically collaborate with data scientists and engineering teams?

Data Analysts focusing on AI often work closely with data scientists to prepare, clean, and analyze large datasets that feed into machine learning models. They also collaborate with engineering teams to ensure data pipelines are robust and scalable, supporting both ongoing analysis and model deployment. Regular communication and documentation are essential, as insights and findings from the analyst's work often inform model improvements and business decisions. This cross-functional teamwork helps bridge the gap between raw data and actionable AI solutions.

What are the key skills and qualifications needed to thrive as a data analyst AI, and why are they important?

To thrive as a Data Analyst AI, you need strong analytical skills, proficiency in statistics, data visualization, and a solid understanding of machine learning principles, often supported by a degree in a quantitative field. Familiarity with tools such as Python, SQL, R, and AI platforms like TensorFlow or PyTorch, as well as certifications in data analytics or AI, is highly beneficial. Critical thinking, attention to detail, and effective communication help you interpret data insights and present findings to stakeholders. These skills are crucial for extracting meaningful patterns from complex datasets and enabling data-driven decision-making in AI-driven environments.

What is the difference between Data Analyst Ai vs Data Scientist?

AspectData Analyst AiData Scientist
Required CredentialsBachelor's in Data Science, Analytics, or related field; certifications like Microsoft Certified Data AnalystBachelor's or Master's in Data Science, Statistics, or related; advanced certifications often preferred
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development, modeling, and complex data analysis
Employer & Industry UsageCorporate, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonOften compared for entry to mid-level roles in data analysisMore advanced, requiring deeper statistical and machine learning skills

Data Analyst Ai and Data Scientist roles share overlapping skills but differ mainly in complexity and scope. Data Analysts Ai focus on interpreting data and creating reports, while Data Scientists develop models and algorithms for predictive analytics. Understanding these differences helps in career planning and job targeting.

How to become a data analyst AI?

To become a data analyst AI, you should develop skills in programming languages like Python or R, learn data manipulation and analysis techniques, and gain experience with machine learning tools and frameworks. Acquiring relevant certifications and understanding data visualization and database management can also enhance your qualifications.

What are the most commonly searched types of Data Analyst Ai jobs in Quebec?

The most popular types of Data Analyst Ai jobs in Quebec are:

What are popular job titles related to Data Analyst Ai jobs in Quebec?

For Data Analyst Ai jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Data Analyst Ai jobs in Quebec look for?

The top searched job categories for Data Analyst Ai jobs in Quebec are:

Infographic showing various Data Analyst Ai job openings in Quebec as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $91,440 per year, or $44 per hour.

Full-time

Re-posted 19 days ago


PCL Construction rating

7.2

Company rating: 7.2 out of 10

Based on 17 frontline employees who took The Breakroom Quiz


Job description

The future you want is within reach. Let's build it together.  

At PCL, part of the PCL Family of Companies (PCL), we don't just build projects - we build opportunities, careers and communities. We invest in our people and projects, and that shared commitment drives how we work, grow, and build strong communities together. 

 
As an Artificial Intelligence (AI) Analyst for PCL across multiple locations, you'll have the opportunity to work with cross-functional teams to identify, implement, and scale AI solutions that improve workflows, support better decision-making, and drive meaningful operational impact.

Why Choose PCL?  

Your future at PCL starts here. Here's why PCL is a place to grow, belong, and build a lasting career:  

  • Join an award-winning employer known for employee experience  
  • Earn competitive total rewards that support your future  
  • Grow your career across roles, projects and regions  
  • Be part of an inclusive, team-focused culture rooted in community  
  • Access world-class training through PCL's College of Construction  
  • Build a meaningful career supported by mentorship and learning  
  • Help build new communities and make a lasting impact  

As an Artificial Intelligence (AI) Analyst, you will contribute to our team by: 

Responsibilities
  • Working with cross-functional teams to identify and apply AI solutions to operational workflows and processes.
  • Analyzing workflows to define problems and identify and prioritize AI use cases based on value, impact, feasibility, and risk.
  • Coordinating AI solutions by documenting requirements and supporting design, configuration, and rollout with cross-functional teams.
  • Contributing to business cases, cost-benefit analyses, and implementation plans.
  • Supporting user acceptance testing (UAT) and monitoring usage and performance of AI-enabled tools to identify improvement opportunities.
  • Helping build user confidence and capability with AI-enabled tools through training, guidance, and ongoing support.
  • Staying informed on emerging AI technologies and contributing to the evaluation and recommendation of tools and platforms.
Qualifications
  • Degree or diploma in information management, information technology, business administration, computing science, or a related discipline, or equivalent experience.
  • 3-5 years of progressive experience in a related field.  
  • Demonstrated fluency with AI-enabled tools; experience applying these tools in business contexts is an asset.
  • Demonstrated business acumen and an understanding of how AI solutions support and optimize operational workflows and outcomes.
  • Strong communication, collaboration, and influencing skills, with the ability to clearly translate complex technical concepts and support data-driven decision-making.
  • Understanding of business process mapping and requirements documentation, with the ability to translate business needs into actionable AI-enabled solutions.
  • Strong analytical and problem-solving skills, with the ability to interpret information, identify patterns, and develop effective solutions. 

Your Work Has Purpose Here  

PCL projects are where life happens,where communities connect, careers begin, and progress is made. Regardless of the type of project, we are building something bigger: a futurethat'sinclusive,resilient,and full of opportunity. 

AtPCL,we are committed to creating a workplace where everyone belongs. We value the diverse experiences,identities,and perspectives our employees bring. Employment decisions are based on merit,potential,and the drive to make a difference,regardless of race, gender, age,ability,or background. 

We know everyone's needs are different, ifyou require accommodation during the application process, please contactcareers@pcl.comand include the position and location of interest. 

This recruitment process does not involve the use of artificial intelligence (AI) to screen, assess, or select applicants. All hiring decisions are made by human reviewers.

Company: Construction PCL Inc.

Primary Location: Montreal, Quebec

Job Title: AI Analyst

Requisition ID: 13287


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