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About the Role

The Specialist, Crew Advanced Analytics is a strategic, results-driven role responsible for advancing the team’s use of advanced data science and machine learning to solve complex crew planning challenges. The role focuses on designing and scaling reusable data science assets, applying a range of analytical techniques to optimize crew reserve models, schedule design, and crewing productivity. This role acts as a bridge between business, IT, and engineering teams, delivering end-to-end solutions and driving innovation.

Responsibilities

Develop high quality, intuitive analytic solutions to complex business problems such as crew reserve optimization models.
Drive operational efficiency and assess cost-benefit implications of proposed solutions.
Foster innovation of analytics projects including strategy, advanced modeling, and data mining.
Provide oversight of engagement structure, team management, and deliverables.
Collaborate with stakeholders and subject matter experts to identify new ways of leveraging data.
Assist with analytical needs and project insights to influence business priorities and strategic initiatives.
Provide a branch view of analytical opportunities to help business lines make informed operational decisions.
Lead the definition and governance of key metrics.
Drive the vision and building of the Crew Analytics team.
Follow best practices for future reuse in the form of accessible, reusable patterns, templates and code bases.
Act as a process improvement leader in matters of data science and analytics.
Maintain awareness of best practices to improve crew efficiency, crewing productivity and/or correct model deficiencies.
Provide strategic, technical, and project leadership for data explorations of new and existing data sources.
Maximize value creation and innovations.
Stay updated on industry trends and emerging technologies to drive innovation in data analytics practices.
Demonstrate initiative, a strong commitment to achieving meaningful results, and act on opportunities to create value.
Hire, manage, develop, mentor and support a highly skilled team of data engineering and reporting analysts.

Requirements

Bachelor’s degree in a quantitative or technical field (e.g., Statistics, Mathematics, Data Science, Engineering).
5+ years of experience in data science, advanced analytics, or applied machine learning roles, with exposure to business-focused analytics.
Strong experience working with large, complex datasets.
Proficiency in SQL and Python and other relevant programming languages.
Experience applying statistical modeling and machine learning techniques, such as regression-based models, tree-based models and optimization approaches.
Foundational understanding of demand forecasting, elasticity modeling, promotional analysis, or scenario modeling.
Familiarity with analytics development within Databricks and the Azure data ecosystem is considered an asset.
Strong proficiency in data visualization tools such as Power BI (preferred) or Tableau.
Ability to communicate analytical concepts clearly to both technical and non-technical audiences.
Proactive mindset with the ability to work through ambiguity, take initiative, and suggest new analytical approaches or opportunities to improve business outcomes.
Demonstrate punctuality and dependability to support overall team success in a fast-paced environment.
Candidates must be eligible to work in the country of interest at the time any offer of employment is made.
Candidates are responsible for obtaining any required work permits, visas, or other authorizations necessary for employment.
Prior to their start date, candidates will also need to provide proof of their eligibility to work in the country of interest.

Skills

Data Science
Advanced Analytics
Machine Learning
SQL
Python
Statistical Modeling
Regression-based Models
Tree-based Models
Optimization Approaches
Demand Forecasting
Elasticity Modeling
Promotional Analysis
Scenario Modeling
Databricks
Azure Data Ecosystem
Power BI
Tableau
Data Visualization

Experience Level

5+ years of experience

Education Level

Bachelor’s degree in a quantitative or technical field
Master’s or PhD degree is considered an asset

About the Company

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.

Equal Opportunity

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.