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Data Analyst Ai Jobs in Quebec (NOW HIRING)

Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all ...

... solutions using AI and Business Intelligence tools to optimize our product data management ... and analyze large volumes of data from multiple systems (100,000 SKUs) Act as a subject matter ...

Data Analyst Role Summary As a Data Analyst, you will support business decision-making by gathering ... Practical experience with AI/ML models, Large Language Models (LLMs), and AI‑enabled workflow ...

Agentic AI Solutions: Innovative AI-driven assistants or automated workflows that allow stakeholders to converse with data and fetch immediate insights. * Telecom Insights: Analyze heavy data ...

Excellent proficiency in Excel: features, advanced formulas, and analysis. * Skills in data ... We use AI-enabled tools in our recruitment platform (iCIMS) for tasks like resume parsing and ...

Analyze operational feedback and operating data from DIT and SONO systems. * Produce relevant ... We use AI-enabled tools in our recruitment platform (iCIMS) for tasks like resume parsing and ...

SAP Data Conversion Analyst

Montreal, QC · On-site

CA$56K - CA$106K/yr

You are analytical, detail-oriented, and comfortable executing defined data tasks while adhering to ... We combine our strength in technology and leadership in cloud, data and AI with unmatched industry ...

Analyze data across Finance, Inventory, Operations, and other business areas to identify risks ... Identify AI opportunities: Help business teams frame practical AI opportunities such as forecasting ...

Advanced Analytics, AI & Trust: * Build and manage the portfolio of analytics and AI products that compound the value of the data foundation across business functions. * Develop the talent and ...

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Data Analyst Ai information

See Quebec salary details

$12

$43

$78

How much do data analyst ai jobs pay per hour?

As of Aug 8, 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.

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.

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 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.

What does a data analyst do in AI?

A data analyst in AI collects, cleans, and analyzes large datasets to identify patterns and insights that improve machine learning models and AI systems. They often use tools like Python, R, or SQL and work closely with data scientists to support model development and validation.

Do data analysts work with AI?

Data analysts often work with AI by analyzing data used to train machine learning models, developing insights, and creating reports that support AI projects. They may also use tools like Python, R, or SQL to process large datasets and collaborate with data scientists and AI engineers. Understanding AI concepts can enhance their ability to interpret and leverage AI-driven insights.
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 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $91,440 per year, or $44 per hour.

Sr Data Analyst

Artefact

Montreal, QC • On-site

Full-time

Re-posted 20 days ago


Job description

About the job

Do you think like a management consultant, thrive in a startup environment, and can't stop thinking about the intersection of data, technology, and AI?

With over  2000 employees, offices on five continents, and world-class clients like Samsung, L'Oreal, and LVMH, Artefact is a consulting firm that transforms data into value and business impact. 

Who We Are

Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we're also growing in parallel.

We have 2000 employees across 34 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe.

Find out more at artefact.com.

What you will be doing 

As an Analyst with a background in marketing and media agency experience, you will play a pivotal role in the intersection of data analysis and business strategies. We are seeking a candidate who not only possesses advanced analytical skills but can also effectively engage with clients, ensuring that internal projects and client accounts are managed, aligned, and successfully executed.

Key tasks include: 

  • Conducting projects to accompany the transformation of your clients' businesses through the effective collection, processing, and visualization of data
  • Extract valuable insights from clients' marketing-related data sources to support informed decision-making.
  • Research and develop new technical approaches to address challenges efficiently in the marketing and media domain.
  • Create data visualization dashboards tailored to marketing decision-making while aligning with business requirements.
  • Actively contribute to the expertise and competencies of the Data & Analytics team and work closely with other divisions, including Media & Activation, Creation, Consulting, Data Science, and Data Engineering, to provide comprehensive services to clients.

What we are looking for 

We're looking for forward-thinkers and "quick studies" who are poised to make a significant impact, are ready to help our clients in their digital and data journeys, and will help to position Artefact at the forefront of innovation and disruption. As someone who will help build our U.S. office from the ground up, we need a data engineer who's naturally curious, independent, team-oriented, and eager to learn. We'll give you the tools and training to be successful, and you'll come armed with the following:

  • Undergraduate degree with strong academic performance
  • 2-5 years of full-time work experience in a data-driven working environment with experience or knowledge in:
    • Dashboarding: Tableau, Looker Studio, Power BI
    • Programming: Jupyter, VS code, Github
    • Programming languages: Python, R, SQL
    • Tool
    • Cloud databases
      • Amazon Redshift, Microsoft Azure, Google BigQuery, Salesforce (or other popular CRM tools)
  • Additionally, have knowledge in one or more of the following technologies:
    • You know how to connect to an API through the knowledge of the different authentication methods (OAuth, HTTP Basic, API key)
    • ETL tool (Airflow, Dataiku, Dataflow, Dataprep...) 
    • Web application (R-Shiny, Python Flask) that you have industrialized 
  • Have a strong business-orientation with great verbal and written communication skills; ability to represent Artefact in a client-facing capacity
  • Ability to engage with diverse team members; strong intercultural communication skills are a must
  • Advanced familiarity with Excel and PowerPoint
  • Experience using Google Suite a plus
  • Strong teaching orientation; demonstrated ability to mentor more junior members of the team

Why you should join us 

We are united by our values and strengthened by our hybrid expertise.

  • There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
  • Client trust is won on the field: Addressing client needs flows better hands on at their side.
  • If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact.
  • If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues.
  • We learn everyday: Tech is a land where everything move at the speed of light, you better be ready to challenge yourself.