Principal Portfolio Risk Analyst
Toast
PythonSQLTableau
Manager, Customer Behavior Analytics
Credit Genie
full-time
Posted on:
Origin: • 🇺🇸 United States • New York, Pennsylvania
Visit company websiteSalary
💰 $145,000 - $185,000 per year
Job Level
SeniorLead
Tech Stack
PythonSQLTableau
About the role
- Lead deep dives into customer retention metrics, lifecycle patterns, and churn drivers to inform targeted strategies for growth and customer loyalty
- Collaborate with Risk Analytics to evaluate how credit risk, repayment patterns, and customer profiles influence retention outcomes
- Design and implement methods to measure customer engagement and retention program effectiveness, including predictive modeling and cohort analysis
- Build clear, intuitive dashboards and deliver actionable insights that help business leaders quickly understand and act on key metrics
- Establish an “always-on” approach to tracking retention KPIs, including early warning signals of churn or declining engagement
- Partner with Marketing, Risk, Product, and Operations to align retention strategies with overall business objectives
- Serve as a thought partner to marketing and risk teams, and mentor junior analysts to cultivate a culture of data-driven decision making
Requirements
- 8+ years of experience in data analytics, customer lifecycle analytics or marketing analytics with a focus on retention or loyalty programs, ideally in a financial services
- Master’s degree (Analytics, Marketing, Mathematics, Economics, etc.)
- Advanced SQL skills and demonstrated ability to work with both structured and unstructured databases
- Proficiency in data visualization and BI tools (e.g., Tableau, Power BI, Qlik) and statistical languages such as Python or R
- Proven understanding of customer behavior metrics (churn, LTV, cohort analysis) and how risk factors can impact retention
- Excellent cross-functional partnership skills and the ability to communicate complex analyses to both technical and non-technical stakeholders
- Entrepreneurial and self-directed, thriving in ambiguity and fast-paced environments. Comfortable testing, learning, and iterating quickly
- Willingness to work onsite full-time in one of our office locations (New York City, Philadelphia PA, Plymouth Meeting PA, Pittsburgh PA)
- Authorization to work in the U.S.; information about sponsorship will be collected
