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.
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;