data
Posted 2 days agoSenior Manager, Marketing Analytics - Cards
at Upgraded
Hybrid
Responsibilities
- Lead the marketing investment cycle collaborating across credit, finance, and strategy teams to launch marketing campaigns
- Architect and launch the firm’s first optimization engine to target prospects, maximizing expected economics while maintaining policy thresholds
- Build and maintain bottom-up business unit economic growth forecasts
- Produce the quantitative outputs that support investor reporting and capital market narratives, including securitization performance analytics and portfolio stratifications Customer & Portfolio Analytics
- Build and own the account valuation (unit economics) models that underpin credit card investment decisions
- Evaluate cardholder engagement trends, spend behavior, utilization, rewards engagement, and retention drivers
- Conduct cohort analyses to understand customer lifecycle performance and long-term portfolio health
- Design and measure A/B and multivariate tests to improve economic outcomes
- Identify opportunities to improve conversion rates, portfolio profitability, and lifetime value (LTV)
- Deliver actionable recommendations through statistical analysis, forecasting, and predictive modeling
- Support executive decision-making with clear storytelling and concise business recommendations
- Collaborate with Data Engineering and BI teams to improve data quality, accessibility, and scalability
- Drive consistency in KPI definitions, reporting methodologies, and attribution frameworks
- Mentor and develop junior analysts and foster a data-driven culture across the organization
Requirements
- experience supporting credit card, lending, banking, or fintech products strongly preferred
- Strong understanding of card economics, acquisition funnels, customer lifecycle metrics, and portfolio performance
- Advanced SQL skills and
- experience working with large-scale datasets •
- Experience with BI and visualization tools such as Tableau, Power BI, or similar
- Proficiency in statistical analysis and experimentation methodologies •
- Experience using Python or similar analytical programming languages preferred