BI & AI Analyst Job Montréal area,Dorval Province de Québec Canada,IT/Tech

Location: Dorval

Founded in 2000 by three former Royal Canadian Air Force (RCAF) CF-18 fighter pilots who identified an opportunity to improve military readiness training, Top Aces has since established itself as the world leader in contracted adversary air (ADAIR) services and joint terminal attack controller (JTAC) training.

We pride ourselves on our unblemished safety record, having flown an industry leading 130,000+ hours of operational training without accident in support of customers worldwide, including Canada, the U.S., Germany, and multiple other NATO allies and international partner nations.

Our vision is to be the most trusted provider of innovative defense training solutions, continuously elevating standards in an industry where "Experience Matters." This commitment to innovation and technology ensures we remain adaptable, training allied militaries to succeed against evolving threats.

Top Aces’ dynamic team contributes to delivering on our purpose of training the next generation of combat leaders by living our values of Service, Integrity, Excellence, and Together every day!

Join our team!

Role Summary

The BI / AI Analyst helps the business turn trusted data into better decisions. This role works directly with business teams to build Power BI dashboards, define meaningful KPIs, uncover insights, and identify practical BI/AI opportunities that improve performance across Finance, Inventory, Operations, and other priority areas. The analyst uses governed Gold-layer datasets prepared by the technical BI/Data team and focuses on reporting, insight generation, adoption, and business value.

This is a business-facing role, not a heavy data engineering or advanced machine learning development role.

Key Responsibilities

Build trusted business reporting: Develop clear, user-friendly Power BI dashboards and reports using governed Gold-layer datasets.

Turn business questions into insights: Translate reporting needs into dashboards, KPIs, visualizations, trends, and practical recommendations.

Support decision-making: Analyze data across Finance, Inventory, Operations, and other business areas to identify risks, opportunities, gaps, and improvement ideas.

Partner with business users: Work with SMEs to validate requirements, confirm data accuracy, interpret results, and ensure reports answer real business needs.

Strengthen KPI governance: Document metric definitions, assumptions, calculation logic, data sources, business rules, and usage guidance.

Support prioritization: Provide input to the Data Product Owner on reporting needs, dataset requests, AI use cases, business impact, adoption risks, and dependencies.

Drive adoption: Provide training, coaching, documentation, and follow-up support so users can confidently use dashboards and self-service analytics.

Measure value: Track dashboard usage, user feedback, data quality concerns, adoption levels, and business value where measurable.

Identify AI opportunities: Help business teams frame practical AI opportunities such as forecasting, optimization, anomaly detection, automation, Copilot-enabled analytics, and decision support.

Collaborate with technical teams: Work with BI/Data Developers, data owners, and IT to confirm dataset readiness, data quality issues, semantic model needs, and reporting constraints.

Required Qualifications

Bachelor’s degree in Business Analytics, Data Analytics, Computer Science, Statistics, Engineering, Finance, Operations Management, or a related field.

3–7 years of experience in business intelligence, reporting, analytics, business analysis, or data-driven business support.

Strong hands-on Power BI experience, including dashboard design, data visualization, usability, DAX basics, and report development.

Working knowledge of SQL and structured datasets, with the ability to explore, validate, interpret, and explain business data.

Experience gathering business requirements and converting them into KPIs, dashboards, analytical outputs, and recommendations.

Ability to define and document business metrics, reporting assumptions, data definitions, and performance management outputs.

Strong communication skills, with the ability to explain insights clearly to…