{bc}
indeed

Advanced Commercial Analytics Analyst

Air Canada
Dorval, CAN
Full-time
Mid-Senior
Onsite
Discovered 1 months ago
Commercial analyticsData analysisAdvanced SQLLarge and complex datasetsForecasting and predictive modelsBusiness intelligence

Full Job Posting

Role overview

The Advanced Commercial Analytics Analyst reports to the Director of Commercial Analytics and Business Intelligence.

The role delivers commercial insights, analytical solutions, forecast support, and generative AI applications for data-driven decisions.

Works with Revenue Management, Network Planning, Sales, Revenue Planning, and other business stakeholders.

Responsibilities

  • Analyze commercial performance, customer behavior, revenue trends, and market dynamics to generate actionable insights.
  • Translate stakeholder business questions into analytical solutions and support strategic initiatives.
  • Develop, enhance, and validate forecasting, predictive, and decision-support models.
  • Evaluate commercial data sources and identify opportunities, analytical needs, and automation potential.
  • Design, develop, test, and enhance AI-powered solutions, including Snowflake Cortex Agents and Microsoft Copilot experiences.
  • Support AI-agent workflows by defining requirements, identifying data sources, and validating outputs with end users.
  • Optimize analytical and business workflows using analytics and AI.
  • Present findings and recommendations through data storytelling and respond to ad hoc analytical requests.

Qualifications

  • 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.
  • Minimum 1–2 years’ experience in analytics, data science, revenue management, commercial strategy, business intelligence, or a related quantitative field.
  • Strong business acumen, analytical and problem-solving skills, and critical thinking to validate outputs.
  • Advanced SQL and experience working with large, complex datasets.
  • Ability to translate business questions into analytical approaches and actionable recommendations.
  • Strong communication, presentation, organization, and interpersonal skills; able to manage multiple priorities and collaborate.
  • Python, Snowflake, or similar analytical platforms are assets; generative AI interest and experience with Copilot, Cortex, AI agents, or similar tools are assets.
  • Interest in aviation and its commercial functions; punctuality and dependability in a fast-paced environment.

Language preference

  • Based on equal qualifications, preference is given to bilingual candidates; no specific languages are stated.

Employment conditions

Candidates must be eligible to work in the country of interest when an offer is made and provide proof of eligibility before starting.

Candidates are responsible for obtaining any work permits, visas, or other authorizations needed for employment.

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