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Senior Analyst, Loyalty Spend Analytics - 26441

Location: TORONTO CENTRAL, ON, Canada
Posting Start Date: Nov 24, 2021
Posting End Date: Nov 29, 2021

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Job Description

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 Sr. Analyst, Loyalty Spend Analytics will be responsible for the development of descriptive, diagnostic, prescriptive and predictive analytics & insights in-support of Air Canada’s loyalty marketing and CRM programs, reporting to the Manager – Loyalty Spend Analytics. The individual will establish collaborative relationships with internal stakeholders in Marketing, Partnership Management, Product & CRM teams, understanding key business issues and proactively providing insight guidance and subject matter expertise.
 
This data science 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 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, predict customer behaviours and measure investment effectiveness.
 
The role requires knowledge and practical experience in data science with the application of data analytics and statistical/modeling/machine learning techniques to large data sets to drive the development of actionable insights that ultimately create business results. 
 
Required Skills

Analytics

  • Run existing code/processes, ability to modify for variations on specifications
  • Provide analytical outputs including insights and summary
  • Maintain segmentations/trackers/models
  • Able to tackle business problems requiring new analytic approaches and/or data sets, with minimal guidance
  • Build models, segmentations, trackers with minimal guidance
  • Proposes analytical solutions and shows creativity in solving business problems
  • Produces work of high quality standard on a consistent basis

Business & Data Knowledge

  • Advanced knowledge of all data assets and processes relevant to core business supported
  • Solid understanding of business area supported and their business objectives and can propose recommendations to create value within your supported line of business
  • With guidance, integrates data across business areas in providing analytic solutions to your business area
  • Has the ability to turn analytical work and insights into actionable business application with results
  • Has the ability to influence and improve business decisions

Communication

  • Design and present analysis to cascade analytical results and insights
  • Responsible for day-to-day contact with your business area
  • Presenting, typically to peers and next level management
  • Provide initial information & analytic approach for most internal questions from your business area
  • Shared learnings – develop and present case studies with storytelling aptitudes
  • Has the ability to synthesise analytical work and insights to extract key messages
  • Demonstrate ownership and respect in your own field

Team Work

  • Flex workload to support internal team members
  • Provide cover for absent team members for tasks
  • Generate ideas for continuous improvement that benefit the team
  • Quality check analysis for colleagues
  • Provides guidance, coaching and direction to other colleagues to improve and make overall team better
  • Strong contributor to the team

Project Management

  • Manages own work load
  • Advises manager of any potential issues, proposing potential solutions
  • Lead short term analytics planning sessions with business stakeholders
  • Able to manage smaller scale analytic projects including development of basic project plan, tracking & stakeholder management

Qualifications

  • Technical: Relational data warehouse skills (i.e. SQL) and experience mining them; using and developing business intelligence tools (e.g. Power BI); statistical coding expert ideally in Azure/Databricks/Snowflake environment with Python or PySparks; a strong demonstrated background in applied statistical analysis - specifically targeted marketing applications and signal generation; advanced modeling & machine learning experience; 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; 
  • 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 behaviour; 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.
  • Education: Graduate degree (or equivalent experience) preferred in statistics, mathematics, BI, economics, or other quantitative fields
  • Experience: 3+ years of analytical and data mining experience; 2+ years of CRM / Loyalty experience; 3+ years in the travel, retail, financial or loyalty sector an asset.
  • Mandatory Covid-19 Vaccination Required as of October 31st 2021
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.
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