Analyst, Customer and Lifecycle Management Analytics at Air Canada
Toronto, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

15 Nov, 25

Salary

0.0

Posted On

15 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Power Bi, Critical Thinking, Core Data, Uncertainty, Business Acumen, Consumer Behavior, Experimental Design, Statistics, Mathematics, Economics, Python, Business Intelligence Tools, Research, Data Solutions, Analytics

Industry

Information Technology/IT

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.

The Analyst, Customer and Lifecycle Management Analytics will be responsible for the development of descriptive, diagnostic, and prescriptive analytics & insights in-support of Air Canada’s loyalty & retail marketing and CRM programs, reporting to the Manager, LCM & Retail Analytics. The individual will establish collaborative relationships with internal stakeholders in LCM & Retail Marketing, Partnership Management, Product & CRM teams, understanding key business issues, providing insight guidance and subject matter expertise.
This analyst role specifically focuses on Air Canada’s CRM activities, and involves : (1) understanding & leveraging relevant Air Canada and Loyalty customer data assets, (2) understanding and helping to define and solve critical business problems, (3) designing campaign measurement strategies, and (4) supporting and developing key analysis/insights and run existing models/segmentations to address business opportunities in alignment with Air Canada’s marketing strategies in support of our network and broader loyalty offerings. The role will serve to deepen Air Canada’s customer understanding, analyze customer behavior, and measure investment effectiveness.
The role requires a strong business acumen, knowledge and practical experience in quantitative methods applied to large data sets to drive the development of actionable insights that ultimately create business results.

BUSINESS & DATA KNOWLEDGE

  • Solid knowledge of core data and key business objectives of primary team(s) supported.
  • Knowledge of role and interactions with other teams and what avenues of support exist.
  • Understanding of Loyalty and AC business and how your work contributes value.

QUALIFICATIONS

  • Technical: Relational data warehouse skills (i.e. SQL) and experience mining them; using and developing business intelligence tools (e.g. Power BI); Understanding of direct marketing theory (experimental design) and marketing program measurement; expertise in defining data-driven customer strategies based on analytics and insights, lifecycle approaches, segmented messages and offers, etc.; ability to interpret research, extract and communicate insights that are business results focused; ability to draw conclusions and use critical thinking to validate outputs; develop a deep understanding of Air Canada’s data assets and identify opportunities for improvements and development; and drive innovation throughout the insights process by proactively seeking out new, innovative and agile analytics techniques; Technical Asset: statistical coding expert ideally in Dataiku/Snowflake environment with Python or PySpark; a strong demonstrated background in applied statistical analysis - specifically targeted marketing applications and signal generation; advanced modeling & machine learning experience;
  • General Skills: Strong oral and written skills to communicate complex data and analysis in a simple way; attention to detail, excellent analytical, problem-solving and trouble-shooting skills and a natural interest in understanding and explaining consumer behavior; good client liaison skills – able to work collaboratively and in partnership to deliver high quality data solutions; responds resourcefully and shows nimbleness when faced with new challenges and demands; effectively manages the pressures and complexities of various highly dynamic situations; Ability to effectively manage multiple assignments at once; moves forward positively and productively under conditions of change or uncertainty. Strong business acumen is essential. Demonstrate punctuality and dependability to support overall team success in a fast-paced environment.
  • Education: A bachelor’s or master’s degree (or equivalent experience) preferred in statistics, mathematics, BI, economics, or other quantitative fields
  • Experience: Analytics and data science experience preferred; Experience in CRM/Loyalty preferred; Experience in the travel, retail, financial or loyalty sector 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 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.

Responsibilities

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