Operations Analytics Analyst

About the Role

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. 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.

Responsibilities

• 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.

Qualifications

• 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.
• Knowledge and understanding of Airline Operations is an asset.
• Demonstrate punctuality and dependability to support overall team success in a fast-paced environment.

Conditions Of Employment

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. Prior to their start date, candidates will also need to provide proof of their eligibility to work in the country of interest.

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.

Key skills/competency

• Data Analytics
• Data Science
• Statistical Analysis
• Data Visualization
• SQL
• Python
• Power BI
• Tableau
• Snowflake
• Business Acumen
• Process Improvement