build and manage team of scientists, analysts and engineers to streamline and centralize critical data and models to enable a more consistent and personalized customer experience across all of Groupon's channels.
Collaborate with other teams to help plan and review customer testing strategy and execution plans that inform our broader customer engagement strategy.
Work closely with engineering teams to ensure the strongest customer data availability and integrity for reporting, analytics and audience targeting systems.
Regularly present specific and actionable insights and plans about Customer Lifetime Value, Attrition and other models to senior leadership.
Drive understanding and adoption of Customer Lifetime Value metrics, customer insights and associated customer segmentations.
Build standardized valuation frameworks to measure the cost and benefit of each customer growth action (i.e. downstream value of reactivating customers, lifetime value of an incremental mobile app download, etc.) including the evaluation of the incrementality of marketing spend on financial metrics (revenue, profit, etc.) and customer behavior.
Master's or PhD in Statistics, Business, Finance, Econometrics or related field
10+ years of relevant team management experience with a heavy emphasis on CRM, Loyalty, Customer research, data modeling & machine learning, and presentation of analytical driven insights and team management
Phenomenal ability to explain and present data to help achieve strategic and operational goals
Strong communication and relationship building skills
Builder' mentality - identifies problems quickly and is eager to build solutions from scratch, not just improve on others work.
Comfortable with a fast-paced, always-on, start-up environment
Must have great management and analytical skills, and strong business judgment
Proven ability to extract meaningful and actionable insight from large, disparate datasets
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.