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Air Canada

Analyst , Cargo AI Transformation

Dorval,QC
  • To be discussed
  • 1 position to fill as soon as possible

Description

Being part of Air Canada is to become part of an iconic Canadian symbol, recently ranked the best Airline in North America. Let your career take flight by joining our diverse and vibrant team at the leading edge of passenger aviation.

Air Canada Cargo is seeking an Analyst, Cargo AI Transformation to help drive our data-driven initiatives. In this role, you will collaborate closely with the Technical Product Managers, acting as a bridge between business needs and analytics solutions. By leveraging your expertise in both business and analytics, you will help enhance customer experience and improve decision-making through innovative AI-driven insights.

Responsibilities:

Business Requirement Definition and Alignment:
  • Participate in the definition of business requirements for Cargo Artificial Intelligence initiatives, including quantitative analysis (value impact evaluation) to support strategic recommendations
  • Play a key role in establishing the scope of the AI initiatives by conducting stakeholder interviews, documenting their needs, pain points, and synthesizing the results
  • Provide the link between business needs and advanced analytics capabilities
  • Support Business Intelligence and Cargo activities to create the link between AI and BI
Analytics Design and Execution:
  • Translate business inputs into a plan for the analytics team, guiding model validation and data interpretation.
  • Responsible for creation and monitoring of value measurement tracking, including visual reports
Testing, Communication, and Visualization:
  • Participate in testing of new Cargo AI applications, including monitoring bugs and coordinating with the quality assurance team on improvements
  • Act as a bridge between business stakeholders and technical specialists; share insights with business stakeholders and collect inputs to verify and iterate analytics results
  • Develop dashboards and visualizations for presenting results
  • Work with the UI and UX teams to ensure that the business solution optimizes customer experience
Qualifications
  • University degree required, preferably in Business Administration, Mathematics, Computer Science, Business Analytics, or equivalent experience.
  • 2+ years of experience in a Business Analyst or Business Translator role.
  • Strong analytical and problem-solving skills, with the ability to work independently and adapt to changing priorities.
  • Proven ability to build collaborative relationships with stakeholders and cross-functional teams to drive on-time project execution.
  • Excellent written and verbal communication skills, with a strong desire to work in cross-functional teams.
  • Demonstrated organizational skills and initiative.
  • Knowledge of the air cargo industry is an asset.
  • Experience in computer science or coding (any language) is a plus.
Conditions of Employment:
  • Candidates must be eligible to work in the country of interest, at the time any offer of employment is made and seeking any required work permits/visas or other authorizations which may be required is the sole responsibility of the candidates applying for this position.
Linguistic Requirements

Based on equal qualifications, 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 which highlights employees' unique contributions to our company's success.

As an equal opportunity employer, we welcome applications from all to help us build a diverse workforce which reflects the diversity of our customers, and communities, in which we live and serve.

Air Canada thanks all candidates for their interest; however only those selected to continue in the process will be contacted.

Work environment

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Requirements

Level of education

undetermined

Diploma

undetermined

Work experience (years)

undetermined

Written languages

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Spoken languages

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Internal reference No.

36473_en