1

Manager Of Analytics Jobs in Quebec (NOW HIRING)

From drivers and technicians to analysts, managers and corporate professionals, every employee ... In fact, many of our leaders began their careers in frontline and technical roles, reflecting our ...

From drivers and technicians to analysts, managers and corporate professionals, every employee ... In fact, many of our leaders began their careers in frontline and technical roles, reflecting our ...

Experience leading teams and managing cross-functional initiatives * Strong grasp of analytics for brand and audience measurement (brand tracking, share of voice, organic and social analytics)

Commercial risk management assessment * Cost control as part of scope negotiation (Bid optimization, negotiation of scope, synergies) Digital Transformation & Analytics * Support and actively ...

Manage, structure, analyze, and standardize project data to support business and user requirements ... of analytics workflows. * Proficiency in Microsoft Power BI and Microsoft Fabric to design ...

Montreal, Quebec, Canada Hours: 35 Line of Business: Data & Analytics Pay Details: 100 000 $/$100 ... Actively manage relationships within and across various business lines, corporate and/or control ...

... Management (iAGAM) is a key driver of strategic transformation across Investments, contributing to the organization's long-term vision and scalable systems and analytics objectives. The team works ...

next page

Showing results 1-20

Manager Of Analytics information

What does a manager of analytics do?

A Manager of Analytics leads teams responsible for collecting, analyzing, and interpreting data to support business decisions. They oversee the development of data-driven strategies, ensure data accuracy, and communicate insights to stakeholders. This role often involves managing analytics projects, mentoring team members, and collaborating with other departments to align analytics initiatives with organizational goals.

What are the key skills and qualifications needed to thrive as a manager of analytics?

To thrive as a Manager of Analytics, you need strong analytical skills, expertise in data interpretation, and a background in statistics or a related field, often supported by a bachelor's or master's degree. Familiarity with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms, as well as relevant certifications, is typically required. Excellent leadership, communication, and problem-solving skills help drive team performance and translate data insights into actionable business strategies. These skills are crucial for effectively leading analytics teams, making data-driven decisions, and delivering value to the organization.

How does a manager of analytics typically collaborate with other departments within an organization?

A Manager of Analytics regularly partners with teams such as marketing, finance, operations, and product development to identify data needs, provide actionable insights, and support strategic decision-making. They often facilitate cross-functional meetings to understand business goals, translate analytical findings into business terms, and ensure data-driven solutions are effectively implemented. This role requires strong communication and relationship-building skills, as successful collaboration is key to driving organizational impact and ensuring analytics initiatives align with broader company objectives.

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

AspectManager Of AnalyticsData Analyst
Required CredentialsBachelor's or Master's in Analytics, Data Science, or related field; often leadership experienceBachelor's in Statistics, Data Science, or related field; entry to mid-level experience
Work EnvironmentOversees analytics teams, strategic planning, collaborates with managementPerforms data analysis, reports, and visualization tasks under supervision
Employer & Industry UsageUsed in corporate, tech, finance sectors for leadership rolesCommon across industries for data-driven decision making

The main difference between a Manager Of Analytics and a Data Analyst lies in their responsibilities and seniority. Managers oversee analytics teams, develop strategies, and work closely with leadership, while Data Analysts focus on analyzing data, creating reports, and supporting decision-making at a more operational level.

How much do Manager Of Analytics make in the US?

The average salary for a Manager of Analytics in the US is approximately $100,000 to $130,000 per year, depending on experience, industry, and location. Senior managers or those with specialized skills in data tools like SQL, Python, or Tableau may earn higher compensation. Benefits often include bonuses, health insurance, and professional development opportunities.

Is data analytics a high paying job?

Data analytics roles, including Manager of Analytics positions, tend to offer competitive salaries that are above average for many industries. Factors such as experience, industry, location, and technical skills like proficiency in SQL, Python, or data visualization tools influence compensation levels.

What are the most commonly searched types of Of Analytics jobs in Quebec?

The most popular types of Of Analytics jobs in Quebec are:

Infographic showing various Manager Of Analytics job openings in Quebec as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Head of Data Insights and Advanced Analytics

IATA

Montreal, QC

Full-time

Re-posted 19 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.