The Senior 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 spaneting 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.

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. 

Analytics

Run existing code/processes, ability to modify for variations on specificationsProvide analytical outputs including insights and summaryMaintain segmentations/trackers/modelsAble to tackle business problems requiring new analytic approaches and/or data sets, with minimal guidanceBuild models, segmentations, trackers with minimal guidanceProposes analytical solutions and shows creativity in solving business problemsProduces work of high quality on a consistent basis

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

Design and present analysis to cascade analytical results and insightsResponsible for day-to-day contact with your business areaPresenting, typically to peers and next level managementProvide initial information & analytic approach for most internal questions from your business areaShared learnings – develop and present case studies with storytelling aptitudesHas the ability to synthesize analytical work and insights to extract key messagesDemonstrate ownership and respect in your own field

Flex workload to support internal team membersProvide cover for absent team members for tasksGenerate ideas for continuous improvement that benefit the teamQuality check analysis for colleaguesProvides guidance, coaching, and direction to other colleagues to improve and make overall team betterStrong contributor to the team

Manages own workloadAdvises manager of any potential issues, proposing potential solutionsLead short term analytics planning sessions with business stakeholdersAble to manage smaller scale analytic projects including development of basic project plan, tracking & stakeholder management

Master’s degree (or equivalent experience) preferred in statistics, mathematics, BI, economics, or other quantitative fields3+ 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.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 PySpark.A strong demonstrated background in applied statistical analysis - specifically targeted spaneting applications and signal generationAdvanced modeling & machine learning experience.Understanding of machine learning and deep learning principles and algorithms.Some experience in developing and implementing generative AI prompts in web applications.familiarity with natural language processing (NLP); understanding of direct spaneting theory (experimental design) and spaneting 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.Drive innovation throughout the insights process by proactively seeking out new, innovative and agile analytics techniques and latest advancements in generative AI. 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.Ability to respond resourcefully and shows nimbleness when faced with new challenges and demands.Effectively manage 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.

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.

Based on equal qualifications, preference will be given to bilingual candidates.

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.

Air Canada thanks all candidates for their interest; however only those selected to continue in the process will be contacted.