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Data Analytics Manager Jobs in Quebec (NOW HIRING)

Job Summary The Product Data Manager is responsible for ensuring that product data, from design to ... Data Analysis & Decision Support * Provide stakeholders with actionable, data-driven insights to ...

As Manager, Information Services, you'll lead a multidisciplinary team of data engineers, analysts, and AI specialists responsible for building and maintaining the data systems, pipelines, and ...

Whether you're advancing AI in HVAC or driving analytics for greater efficiency, your ideas will ... Provide technical assistance with ongoing review of data from energy management systems, including ...

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How much do data analytics manager jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data analytics manager in Quebec is $115,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $135,000.00 per year, depending on experience, location, and employer.

How do Data Analytics Managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive as a Data Analytics Manager, and why are they important?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a Data Analytics Manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Quebec? The most popular types of Data Analytics jobs in Quebec are:
What are popular job titles related to Data Analytics Manager jobs in Quebec? For Data Analytics Manager jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Analytics Manager jobs in Quebec look for? The top searched job categories for Data Analytics Manager jobs in Quebec are:
Junior Data Consultant - (Canada-based)

Junior Data Consultant - (Canada-based)

Artefact

Montreal, QC

Other

Posted yesterday


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 a junior data consultant you will help make data-driven decisions by collecting, analyzing, and interpreting data. Work with clients to understand their business needs and goals, and use data analysis techniques to identify trends and patterns that can inform decision-making and strategy. Our most successful consultants quickly gain additional responsibilities.

Some specific responsibilities of a junior data consultant may include:

  • Collecting and organizing data from various sources, including databases, spreadsheets, and web-based tools
  • Cleaning and preparing data for analysis, including correcting errors and formatting data for use in statistical software
  • Analyzing data using statistical techniques and tools, such as Excel, SQL, and R or Python
  • Interpreting and presenting data insights to clients in clear, easy-to-understand language
  • Collaborating with clients to understand their business needs and goals, and developing data-driven recommendations to meet those needs
  • Participating in ongoing professional development to stay up-to-date on the latest data analysis techniques and tools.

To be successful in this role, a junior data consultant should have strong analytical skills, attention to detail, and the ability to work with large datasets. They should also have excellent communication and interpersonal skills, as they will be interacting with clients and presenting data insights to both technical and non-technical audiences. Familiarity with statistical software and programming languages, such as R or Python, is also helpful for this role.

What we are looking for

We're looking for forward-thinkers and "quick studies" who are poised to make 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, we need a consultant 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
  • 1-2 years of full-time work experience, ideally in one or more of the following areas: consulting, data/analytics, marketing, advertising, finance, or tech.
  • Strong verbal and written communication skills; ability to represent Artefact in a client-facing capacity
  • Demonstrated ability to engage with diverse team members; strong intercultural communication skills are a must
  • Advanced familiarity with Excel and PowerPoint
  • Interest in digital, data and the tech economy as a whole
  • Strong teaching orientation; demonstrated ability to mentor more junior members of the team
  • Knowledge of strategy consulting and/or digital marketing (within a start-up, agency, etc.) is highly desirable, but not required

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.