
Website Air Canada
Job Description:
The Manager, Customer and Lifecycle Management Analytics will be responsible for the development of descriptive, prescriptive and predictive analytics & insights in-support of Air Canada’s loyalty marketing and CRM programs.
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Job Responsibilities:
- Create effective profit-based segmentation models that decrease costs and maximize margin
- Demonstrate initiative and a strong commitment to achieving meaningful results and act on opportunities to create value
- Ensure the accuracy and integrity of all analytics out put
- Build data requirements and measurement plans that accurately measure the success of CRM initiatives, execute on these plans and present effectively to key stakeholders – this involves supporting design, execution and post campaign analysis
- Develop a deep understanding of Air Canada’s data assets and identify opportunities for improvements and development
- Develop customer signals that will have a direct and measurable impact on business decisions and marketing actions through profiling, segmentation, smart analytics and advanced analytic engines
- Responsible for overall project management including timelines, providing cross-functional stakeholder updates and getting alignment at key decision points
- Develop journey-based analytical solutions to support personalization strategies across all stages of the customer lifecycle (acquisition, cross-sell, upsell, retention, churn, etc.) and across all channels
- Establish collaborative relationships with internal stakeholders understanding key business issues and proactively providing thought leadership, insight guidance and subject matter expertise
Job Requirements:
- Working knowledge of Databricks or other analytics platforms
- 3+ years of CRM/Loyalty experience
- Experience using business intelligence reporting tools, PowerBI an asset
- 1-2 years of experience in the application of analytical assets (data and models) for targeting through digital marketing channels and/or development of attribution or marketing mix models in support of digital performance and optimization
- Fluency in at least two of the following languages: SAS, SQL, R or Python and familiar with cloud environments
- Ability to draw conclusions and use critical thinking to validate outputs
- 5+ years of experience using data to solve business problems leveraging advanced statistical analytics like regression-based predictive modeling, segmentation, cluster analysis, decision trees, etc.
- 2+ years managing a team or 3+ years developing advanced AI/ML models for business application
- Master’s degree or equivalent experience in a quantitative field (e.g. mathematics, applied statistics, BI, econometrics, computer science, operations research, etc.) is required. Strong business acumen is essential
- Good client liaison skills – able to work collaboratively and in partnership to deliver high quality data solutions
- Excellent analytical, problem-solving and trouble-shooting skills
Job Details:
Company: Air Canada
Vacancy Type: Full Time
Job Location: Montreal, Québec, CA
Application Deadline: N/A
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