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Director Of Analytics Jobs in Quebec (NOW HIRING)

We AIM for excellence. Reporting to the Vice President, Finance, the Director, Procurement ... Embed data-driven decision-making and promote the use of analytics to drive sourcing, supplier, and ...

$120 - $180/hr

As Davie Goup's Director of Finance, you will partner closely with the Chief Financial Officer (CFO ... Lead and manage the finance team, including Financial Planning and Analysis (FP&A), accounting ...

Lead RTINGS.com's brand and audience strategy to grow worldwide awareness, trust, and direct demand ... You love doing research, analyzing, and comparing products. You typically spend weeks doing ...

$140 - $190/hr

Reporting to the Senior Director, Finance and Chief Accountant, this strategic leadership role ... Leading a team of FP&A professionals, you will strengthen reporting capabilities, enhance financial ...

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Director Of Analytics information

See Quebec salary details

$72K

$154K

$242.5K

How much do director of analytics jobs pay per year?

As of Aug 10, 2026, the average yearly pay for director of analytics in Quebec is $153,970.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,000.00 and $182,000.00 per year, depending on experience, location, and employer.

What does a director of analytics do?

A director of analytics oversees data analysis teams and strategies to support business decision-making. They develop data models, interpret complex data sets, and communicate insights to leadership, often using tools like SQL, Python, or Tableau. The role requires strong leadership, analytical skills, and experience in data management and visualization.

What is the difference between Director Of Analytics vs Data Analyst?

AspectDirector Of AnalyticsData Analyst
CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often requires experience in leadership rolesBachelor's degree in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentStrategic leadership, overseeing analytics teams, collaborating with executivesData collection, analysis, reporting, and supporting decision-making at operational levels
Employer & Industry UsageUsed in corporate, tech, finance, and healthcare sectors for high-level analytics managementCommon across industries for data interpretation and reporting tasks

The main difference is that the Director Of Analytics focuses on strategic oversight and leadership of analytics teams, while Data Analysts handle data processing and reporting at a more operational level. The Director sets the vision and manages teams, whereas Data Analysts execute data analysis tasks to support business decisions.

What are some common challenges faced by a director of analytics when aligning data strategy with business objectives?

A Director of Analytics often encounters challenges in bridging the gap between complex data insights and actionable business strategies. This can involve translating technical findings into recommendations that are easily understood by non-technical stakeholders, ensuring data quality and consistency across multiple sources, and prioritizing analytics projects that deliver the most business value. Additionally, fostering a data-driven culture and gaining buy-in from leadership can be challenging but is vital for the successful implementation of analytics initiatives.

What are the key skills and qualifications needed to thrive as a director of analytics, and why are they important?

To thrive as a Director of Analytics, you need expertise in data analysis, statistical modeling, and business strategy, often supported by an advanced degree in a quantitative field and significant analytics leadership experience. Familiarity with analytics platforms like Tableau, SQL, Python/R, and data warehousing solutions is typically required, along with experience in data governance and visualization tools. Strong leadership, strategic thinking, and clear communication skills are essential for guiding teams and translating data insights into business action. These skills and qualities are crucial for driving data-driven decision-making and delivering measurable organizational impact.

How much does a director of analytics make?

The average salary for a director of analytics is approximately $120,000 to $160,000 annually, depending on experience, industry, and company size. Senior roles may include bonuses and benefits, and proficiency in data tools like SQL and Tableau is often required.
What are the most commonly searched types of Of Analytics jobs in Quebec? The most popular types of Of Analytics jobs in Quebec are:
What are popular job titles related to Director Of Analytics jobs in Quebec? For Director Of Analytics jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Director Of Analytics jobs in Quebec look for? The top searched job categories for Director Of Analytics jobs in Quebec are:
What cities in Quebec are hiring for Director Of Analytics jobs? Cities in Quebec with the most Director Of Analytics job openings:
Infographic showing various Director Of Analytics job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, 1% Temporary, and 1% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $153,970 per year, or $74 per hour.

Head of Data Insights and Advanced Analytics

IATA

Montreal, QC • On-site

Full-time

Re-posted 28 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 will  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.