Belonging to Air Canada is akin to belonging to a Canadian symbol, Air Canada recently voted best airline in North America. Take your career to new heights by joining our cutting-edge and diverse team at the forefront of passenger air transportation. Reporting to the Director, Commercial Analytics and Business Intelligence, the Advanced Commercial Analytics Analyst is responsible for providing business insights, analytical solutions, forecasting support, and generative AI applications that enable data-driven decision-making within the Commercial Affairs organization.

The incumbent will work in close collaboration with Revenue Management, Network Planning, Sales, Revenue Planning, and other commercial stakeholders to analyze performance, identify opportunities, develop reporting and forecasting solutions, and support strategic initiatives. They will also contribute to the design, development, testing, and adoption of AI-powered solutions, notably Snowflake Cortex agents and Microsoft Copilot experiences, to enhance self-service analytics and team productivity. Conduct advanced analyses of commercial performance, customer behavior, revenue trends, and market dynamics to generate actionable business intelligence.

Collaborate with Revenue Management, Network Planning, Sales, Revenue Planning, and other stakeholders to understand business issues and translate them into analytical solutions. Evaluate and leverage multiple commercial data sources to identify opportunities, assess business performance, and support strategic initiatives. Collaborate with commercial stakeholders to identify recurring business issues, analysis needs, and automation opportunities.

Design, develop, test, and improve AI-powered solutions, notably Snowflake Cortex agents, Microsoft Copilot experiences, and other generative AI applications. Support the development of AI agent workflows by helping define business requirements, determine relevant data sources,



and validate results with end users. Communicate findings and recommendations through presentations and data storytelling that foster data-driven decision-making, and respond to ad-hoc analysis requests from Commercial Affairs stakeholders.

Master's degree in a quantitative field such as statistics, mathematics, data science, computer science, operations research, economics, engineering, business intelligence, or a related discipline. At least one to two years of experience in analytics, data science, revenue management, business strategy, business intelligence, or a related quantitative field. Solid analytical and problem-solving skills, and the ability to draw conclusions and validate results through critical thinking.

In-depth knowledge of SQL and experience working with large, complex datasets. Strong communication skills and the ability to effectively present insights and tell a compelling story using data.

Experience with Python, Snowflake, or similar analytical platforms is an asset. Interest in generative AI technologies and experience with Microsoft Copilot, Snowflake Cortex, AI agents, or similar technologies is an asset. Interest in the aviation industry and in acquiring knowledge of Revenue Management, Network Planning, Sales, and other commercial functions.

Candidates must be eligible to work in the country concerned at the time an offer of employment is presented and are responsible for obtaining work permits, visas, or other necessary authorizations.

Language Requirements

All things being equal, preference will be given to bilingual candidates. Diversity and Inclusion Air Canada is strongly committed to diversity and inclusion and aims to create a healthy, accessible, and rewarding work environment that showcases the unique contribution of our employees to our business success. As an equal opportunity employer, we encourage diverse applications so that we can build a workforce that is varied and representative of our customers and the communities where we live and serve.

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