Business Intelligence and Artificial Intelligence Analyst

L3

Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3

Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

L3

Harris is the Trusted Disruptor in defense tech. With customers’ mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

Job Title:
Business Intelligence and Artificial Intelligence Analyst

Job Location:
Mirabel, QC

Job Code: 46062

Job Schedule:
Day Shift

Compensation Range:
Between $50,500 - $93,500 CDN annually

As a Business Intelligence and Artificial Intelligence Analyst, you will play a key role in the organization's digital transformation by promoting a data-driven culture and informed decision-making. As a strategic partner, you will work closely with senior leadership, managers, and functional experts to identify opportunities for process improvement, performance optimization, and value creation through data utilization.

You will be responsible for designing, developing, and deploying performance indicators, interactive dashboards, and advanced analytics solutions that transform complex data into actionable insights. You will also contribute to the integration of artificial intelligence, advanced analytics, and automation technologies to improve organizational efficiency and support innovation.

In a multidisciplinary and multi-site environment, you will collaborate with teams across Planning, Production, Program Management, Engineering, Supply Chain, Finance, and Operations to develop solutions that address business needs. You will also act as an advisor and ambassador for Business Intelligence and Artificial Intelligence throughout the organization.

• Collaborate with leadership and stakeholders to identify business needs and performance improvement opportunities;
• Design, develop, and maintain dashboards, analytical reports, and Key Performance Indicators (KPIs);
• Collect, transform, integrate, and analyze data from multiple information systems;
• Develop data models and ensure data governance, quality, and integrity;
• Apply data visualization best practices to facilitate understanding and decision-making;
• Participate in the design and implementation of solutions leveraging Generative AI, Machine Learning, and intelligent agents;
• Identify and implement automation opportunities for operational and decision-making processes;
• Perform predictive analyses and studies to support strategic planning and operations;
• Train and support end users in the adoption of analytics tools and AI solutions;
• Prepare and present recommendations, analyses, and findings to various levels of the organization.

• Bachelor's degree in Computer Science, Software Engineering, Industrial Engineering, Applied Mathematics, Data Analytics, or a related field;
• 1 to 2 years of experience in Business Intelligence, Data Analytics, or Digital Transformation;
• Experience with Microsoft Fabric, Power BI, and the Microsoft data and analytics ecosystem;
• Strong understanding of Generative Artificial Intelligence concepts, Large Language Models (LLMs), and AI Agents;
• Knowledge of ETL/ELT processes and data integration;
• Experience in data modeling, data analysis, and KPI development;
• Knowledge of SQL and data warehousing concepts;
• Ability to understand, analyze, and translate business requirements into analytical solutions;
• Excellent written and verbal communication skills in both English and French;
• Ability to thrive in a dynamic environment and manage multiple priorities simultaneously.

• Microsoft Fabric;
• Power BI;
• SQL;
• Microsoft Copilot Studio;
• AI Agents and Multi-Agent Systems;
• Generative Artificial Intelligence (GenAI);
• Machine Learning and Predictive Analytics;
• Python (asset);
• Data Engineering and Data Governance;
• Dimensional Modeling and Data Warehousing;
• Knowledge of Microsoft Azure AI Services and the Azure ecosystem (asset);
• Experience with Retrieval-Augmented Generation (RAG) architectures and enterprise AI solutions (asset);
• Familiarity with prompt engineering and AI solution deployment best practices;
• Experience with process…