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Associate Business Intelligence Analyst Jobs in Quebec

The Business Intelligence Analyst supports the Data & Forward Planning organization by developing, maintaining, and enhancing networklevel analytics, dashboards, and data products. This role enables ...

Toronto, Ontario, Canada Hours: 35 Line of Business: Analytics, Insights, & Artificial Intelligence Pay Details: 66 800 $/$66,800 - 94 300 $/$94,300 CAD TD is committed to providing fair and ...

Montreal, Quebec, Canada Hours: 37.5 Line of Business: Analytics, Insights, & Artificial Intelligence Pay Details: $76,800 - $115,200 CAD TD is committed to providing fair and equitable compensation ...

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Associate Business Intelligence Analyst information

See Quebec salary details

$24.5K

$84.9K

$145.5K

How much do associate business intelligence analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for associate business intelligence analyst in Quebec is $84,870.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $106,000.00 per year, depending on experience, location, and employer.

What are typical projects an associate business intelligence analyst might work on in their first year?

In your first year as an Associate Business Intelligence Analyst, you’ll likely be involved in projects such as building dashboards, conducting data validation, and assisting in the preparation of regular business reports. You may work closely with senior analysts and business teams to gather requirements, clean and analyze data, and present findings that help drive business decisions. These projects offer a strong foundation in both the technical and business aspects of BI, and provide valuable exposure to the company’s data infrastructure and analytics tools.

What is the difference between Associate Business Intelligence Analyst vs Business Intelligence Analyst?

AspectAssociate Business Intelligence AnalystBusiness Intelligence Analyst
Required CredentialsBachelor's degree in IT, Data Science, or related field; basic knowledge of SQL and data visualization toolsBachelor's or master's degree; stronger proficiency in SQL, data modeling, and analytics tools
Work EnvironmentEntry-level role, often in team settings, supporting data analysis tasksMore independent, responsible for designing reports, analyzing data, and providing insights
Employer & Industry UsageCommon in tech, finance, healthcare, and retail sectorsWidely used across similar industries, often with more complex projects

The main difference between an Associate Business Intelligence Analyst and a Business Intelligence Analyst lies in experience and responsibility. The associate role is typically entry-level, focusing on supporting data tasks, while the analyst role involves more independent analysis and decision-making. Both roles require similar educational backgrounds and technical skills, but the analyst position demands greater expertise and project ownership.

What does an associate business intelligence analyst do?

An Associate Business Intelligence Analyst supports data-driven decision making within an organization by collecting, analyzing, and presenting data. They use various tools and software to create reports, dashboards, and visualizations that help identify trends, measure performance, and provide actionable insights. Typically, they work closely with business teams to understand their data needs and assist in optimizing processes based on analytical findings. This role is often entry-level or early-career, providing foundational experience in business analytics and intelligence. Strong communication and technical skills are essential for success in this position.

What are the key skills and qualifications needed to thrive as an associate business intelligence analyst?

To thrive as an Associate Business Intelligence Analyst, you need a solid foundation in data analysis, statistical methods, and business acumen, typically supported by a degree in business, statistics, or a related field. Familiarity with BI tools like Tableau, Power BI, SQL, and sometimes introductory experience with Python or R is highly valuable, as are relevant certifications. Strong communication, problem-solving, and attention to detail help translate data insights into actionable business recommendations. These skills ensure the analyst can effectively support decision-making and contribute to organizational growth through data-driven insights.
What are the most commonly searched types of Business Intelligence Analyst jobs in Quebec? The most popular types of Business Intelligence Analyst jobs in Quebec are:
What cities in Quebec are hiring for Associate Business Intelligence Analyst jobs? Cities in Quebec with the most Associate Business Intelligence Analyst job openings:
Infographic showing various Associate Business Intelligence Analyst job openings in Quebec as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $84,870 per year, or $40.8 per hour.

Business Intelligence Analyst

Caeus

Montreal, QC

Full-time

Retirement

Posted 19 days ago


Job description

Behind every success is a team of dedicated experts driving us forward. From HR professionals who shape our culture, to IT innovators driving technological advancements, Finance leaders ensuring our growth, Communicators shining a light on our story, and Legal experts safeguarding our future -every role is essential. Our enterprise functions don't just support; they lead, playing a critical role in shaping the company's path forward and ensuring both clients and employees are ready for the moments that matter. Be part of a team where your work makes a difference. You'll work on impactful projects and turn ideas into reality while enjoying growth opportunities, teamwork, and a balanced work-life.


The Business Intelligence Analyst supports the Data & Forward Planning organization by developing, maintaining, and enhancing networklevel analytics, dashboards, and data products. This role enables Sales Analytics, Operational Analytics, Network Performance leads by ensuring data is accurate, timely, and fit for decisionmaking. The role focuses on data execution and enablement.

Description

  • Develop, enhance, and maintain network analytics dashboards and reports supporting revenue forecasting, capacity planning, Win Room insights, and performance management
  • Maintain and improve Power BI reports, data models, and reports; including performance optimization and userfriendly design
  • Enable proofs of concept and new analytics use cases, supporting rapid iteration and continuous improvement of data products
  • Ensure data accuracy, completeness, and consistency across analytics outputs, underlying tables, and reporting logic
  • Leverage dashboards and tools to support business process improvement projects and enable data-driven decision making
  • Act as a liaison between analytics teams and IT/Digital, supporting data warehouse integration, data refresh reliability, and technical troubleshooting
  • Support Sales Analytics and Operational Analytics leads by translating analytical requirements into scalable solutions
  • Deliverables:
  • Power BI dashboards and standardized reports (e.g., Win Room, KPIs, TR/TD, Open Seat, Capacity, etc.)
  • Reliable and documented data models supporting forecasting and performance analytics
  • Data quality checks and remediation inputs
  • Technical enablement for new analytics concepts and enhancements
  • Presentation slide decks and written reports

Minimum Qualifications

  • Bachelor's degree in Business Administration (Supply Chain), Engineering, or a related field
  • 3-5 years of experience data analysis, business intelligence, statistics or analytics enablement roles
  • Experience in roles with exposure to FP&A, Demand/Supply Planning, or Supply Chain Management
  • Strong skills in Excel, Data Visualization tools (Power BI/Tableau/Looker) data modeling, SQL. Exposure to AI models
  • Understanding of data quality, data governance, and reporting standards

Preferred Qualifications

  • Ability to translate business requirements into technical data solutions
  • Strong collaboration skills with Data scientists
  • Strong analytical and critical thinking skills; ability to analyse, interpret, and synthesise data
  • Excellent interpersonal and organizational skills, including customer focus, teamwork, and adaptability
  • Bilingual (French-English)

Benefits

  • Group Insurance
  • Telemedicine Employee and Family Assistance Program
  • Employee Stock Purchase Plan
  • Group RRSP
  • CAE Pension Plan/Defined Benefit Plan
  • Sabbatical Leave
  • Flex Time
  • Enhanced Parental Leave

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About CAE

At CAE, our mission is clear: to help make the world a safer place. For nearly 80 years, we've driven innovation in simulation, training, and mission readiness to support critical operations worldwide. By leveraging advanced technologies, we empower our customers to operate smarter, faster, and more sustainably. Join a purpose-driven organization where bold ideas are encouraged, collaboration drives progress, and your growth fuels our shared success.

Position TypeRegularEqual Opportunity & Accommodations

CAE is committed to providing equal opportunities to all applicants, regardless of race, nationality, color, religion, sex, gender identity or expression, sexual orientation, disability, neurodiversity, veteran status, age, or other characteristics protected by law. We encourage applicants who may not meet every qualification to apply. Reasonable accommodations are available-contact your recruiter or email CAECarrieres-Careers@cae.com if needed.

Data Privacy

Privacy Statement | CAE

As part of our process, we may use AIsupported tools to help review applications, with human decisionmaking at every step. CAE thanks all applicants for their interest. However, only those whose background and experience match the requirements of the role will be contacted.