● 招聘公司:加拿大航空公司(Air Canada)
● 公司简介:加拿大航空公司是加拿大最大的全业务航空公司,也是加拿大市场上最大的定期客运服务提供商。跨国市场及国际市场进出加拿大。与加拿大航空公司的区域合作伙伴一起,加拿大航空公司每年为近3500万名乘客提供直接客运服务,覆盖五大洲超过175个目的地。 ● 招聘职位: 客户管理分析 经理 ● 职位类型:全职 ● 职位薪酬:$72,500+ ● 申请链接: 点击申请 ● 主要工作内容:
- 开发创新分析解决方案,支持客户生命周期所有阶段的个性化策略;
- 利用统计、机器学习技术和团队开发的分析资产,提供客户价值的渠道交互细分模型;
- 通过综合现有客户数据来提高效率并推动更深层次的见解;
- 与内部利益相关者紧密合作,了解关键的业务问题,重塑以客户为中心的思想;
- 负责整个项目管理,并在关键的决策点达成一致。
- Develop innovative analytical solutions to support personalization strategies across all stages of the customer lifecycle (acquisition, cross-sell, upsell, retention, churn, etc.);
- Leverage advanced statistical, machine learning techniques and full set of analytic assets developed across the team to provide channel interaction segmentation models that maximize customer value across interactions and lifecycle;
- Seek out efficiencies and drive deeper insights by aggregating and synthesizing existing customer data to surface new insights that address business and marketing needs;
- Work closely with internal stakeholders to understand key business issues and proactively provide thought leadership, insight guidance and subject matter expertise; reshaping customer centric thinking across the enterprise;
- Responsible for overall project management including timelines, providing cross-functional stakeholder updates and getting alignment at key decision points.
- 硕士学位或在定量领域(如计量经济学、计算机科学、应用统计学、运筹学等)具有同等经验,拥有强大的商业头脑;
- 5年以上的数据驱动客户战略工作经验,包括基于分析和见解、生命周期方法、分段信息和报价等。
- 3年以上客户关系管理经验;
- 至少精通SAS、SQL、Python中的两种语言,熟悉云环境
- 具备数据库或其他分析平台的工作知识;
- 优秀的客户联络技巧,提供高质量的数据解决方案;
- 较强的书面和口头沟通能力,能够专业地解释和表达结果;
- 熟悉数字营销渠道者优先。
- Master’s degree or equivalent experience in a quantitative field (e.g. econometrics, computer science, applied statistics, operations research, etc.) is required. Strong business acumen is essential;
- Must have a minimum of 5+ years of experience in defining data-driven customer strategies based on analytics and insights, lifecycle approaches, segmented messages and offers, etc.
- 3+ years in CRM;
- Fluency in at least two of the following languages: SAS, SQL, Python, and familiar with cloud environments;
- Working knowledge of Databricks or other analytics platforms;
- Excellent client liaison skills – able to work collaboratively and in partnership to deliver high quality data solutions;
- Strong written and verbal communication skills with the ability to interpret and present results professionally;
- Knowledge of digital marketing channels an asset.
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