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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 is looking for a strategic and results-driven professional to join our team in the role of Operations Analytics Analyst. Reporting to the Specialist, Operations Analytics, the Operations Analytics Analyst explores operational-related data and identifies data relationships in various datasets across the operational branches. The analyst will also apply strong communication and story-telling skills to summarize statistical findings, draw business conclusions, and present actionable insights in a way that resonates with business stakeholders across the Operations group at Air Canada. This role blends together technical expertise with business acumen, contributing to data-driven insights and solutions that empower business leaders to seize opportunities and solve complex operational challenges.
Job Responsibility:
Work closely with Operational Business Units and IT teams to collect data requirements that support the development of analytical components of projects and to identify opportunities for process improvements
Apply statistical, advanced analytics and data science knowledge tools and techniques to interpret operational data sets, with a keen focus on identifying valuable trends and patterns for diagnostic and predictive analytics efforts
Translate business data requirements into pure data requirements, that adhere to data governance policies
Leverage advanced analytical skills to assess feasibility and the optimal technology solutions for analytics initiatives
Integrate data from multiple sources to enable comprehensive analysis and strategic insights
Develop, implement, and maintain analytical and statistical models
Present complex insights in a compelling manner through metrics and visualizations, turning statistical and analytical models into actionable business narratives that drive decision-making
Collaborate with various stakeholders across the operational spectrum at Air Canada to define relevant metrics and KPIs and implement new solutions and processes
Requirements:
University degree in Mathematics, Computer Science, Statistics, Business Analytics, Data Science, Engineering or a combination of education, training and experience deemed equivalent
Minimum 3 years of experience in the field of data analytics or data science turning data into insights and providing insights across an enterprise
Excellent analytical, mathematical and problem-solving skills
Experience in using data warehousing solutions (e.g. Snowflake) and in writing relational database queries and scripts
Experience with analytical and data visualization toolsets like Power BI, Tableau, Looker, Dataiku, etc.
Specialized knowledge of scripting programming languages including but not limited to Python, R and SQL
Proven ability to initiate change when opportunities to improve are identified i.e. the successful candidate must be innovative to find opportunities and confident/comfortable to make opinions known and support their recommendation
Ability to understand, develop, and relate statistical analysis to business implications
Exceptional written and verbal communication, and interpersonal skills
Ability to prioritize and manage multiple concurrent assignments effectively
Ability to work effectively and efficiently in a flexible hybrid office environment
work independently with minimal supervision and within a team environment
Candidates must be eligible to work in the country of interest at the time any offer of employment is made and are responsible for obtaining any required work permits, visas, or other authorizations necessary for employment
Nice to have:
Knowledge and understanding of Airline Operations is an asset
Based on equal qualifications, preference will be given to bilingual candidates