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Data Analytics Manager Jobs in Quebec (NOW HIRING)

The Customer Analytics team is seeking a Data Analyst with a strong curiosity for consumer behavior and a proven ability to leverage data to drive strategic business decisions. In this role, you will ...

The Customer Analytics team is seeking a Data Analyst with a strong curiosity for consumer behavior and a proven ability to leverage data to drive strategic business decisions. In this role, you will ...

... Supply Management (GPSM). Your primary mission will be to structure, analyze, and automate, while contributing to the development of an LLM-based AI agent to accelerate document analysis, data ...

Overview Are you a passionate Data Analyst? Are you looking to work with one of Montreal's top ... Skill in managing multiple tasks in a dynamic setting Knowledge of English is neces sary for this ...

Are you a passionate Data Analyst? Are you looking to work with one of Montreal's top employers ... Skill in managing multiple tasks in a dynamic setting Knowledge of English is neces sary for this ...

Data Analyst

Sherbrooke, QC ยท On-site +1

Data Analyst Location: Sherbrooke Employment Type: Full-Time (40 hours) Department: Operations - Engineering - Algorithms About Us SBQuantum is a seed-stage startup at the forefront of magnetic ...

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 ...

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 ...

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 ...

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 ...

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Data Analytics Manager information

See Quebec salary details

$46K

$116K

$178K

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:

Head of Data Insights and Advanced Analytics

IATA

Montreal, QC โ€ข On-site

Other

Posted 27 days ago


Job description

About the team you are joining

The Global Aviation Data Management (GADM) team is responsible for the development, implementation and support of data solutions needed to monitor safety, operational and capacity KPIs. These include:
Managing Safety and Operations Data Sharing Programs
Supporting OSS lines of business in their data, analytics, reporting and dashboard needs
Developing a coherent approach to data visualization and analysis
Ensuring the availability, reliability, and quality of the data and related dashboards through continuous monitoring
Adhering to data governance policies, quality standards and best practicesText
What your day would be like
Reporting to the Director, OSS Business Systems and Performance, you willย  drive innovation through advanced analytics, data science, and AI. Leading a team of data specialists, you will advance analytical capabilities, oversee data integration and quality across diverse datasets, and deliver value-added solutions that identify emerging safety and security risks, operational trends, and opportunities.

What your day would be like

Lead, inspire, and develop a highperforming team of data specialists, analytics professionals and data scientists.
Set and execute the OSS vision and strategy for data insights and advanced analytics aligned with the corporate guidelines.
Oversee data integration across internal and external sources, ensuring scalable, reliable, and timely data pipelines for GADM and OSS
Shape and execute a data strategy that transforms complex industry data into actionable insights, enabling better decisions and measurable outcomes.
Partner closely with internal and external stakeholders to translate strategic priorities into analytical use cases, models, and insights.
Build collaborative relationships with IT technology peers to ensure solutions alignment with the enterprise architecture principles and technological building blocks.
Establish and enforce data quality, governance, and metadata processes to ensure trusted, accurate, and businessready data.
Define and track KPIs and outcomes to measure the impact, effectiveness, and ROI of analytics and AI initiatives.
Promote a datadriven culture by enabling selfservice analytics, upskilling teams, and improving data literacy across the organization.
Continuously evolve data and analytics capabilities by evaluating emerging technologies, techniques, and best practices and champion the adoption of modern analytics platforms, cloud technologies, and AI/ML capabilities in collaboration with IT peers.
Ensure responsible and ethical use of data and AI, including compliance with regulatory, privacy, and security requirements.