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Montréal, Québec, Canada
Onsite
Role Summary
The Business Intelligence Analyst supports the Data & Forward Planning organization by developing, maintaining, and enhancing network‑level analytics, dashboards, and data products. This role enables Sales Analytics, Operational Analytics, Network Performance leads by ensuring data is accurate, timely, and fit for decision‑making. The role focuses on data execution and enablement.
Key Responsibilities
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 user‑friendly 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
Key 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
Qualifications & Capabilities
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 an asset
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
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.
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.
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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.
As part of our process, we may use AI‑supported tools to help review applications, with human decision‑making 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.