Senior Manager, Marketing Analytics - Cards

Upgrade•Wilmington, DE

21h•$140,000 - $190,000•Hybrid

About The Position

Upgrade helps customers move in the right direction with affordable and responsible financial products. Since 2017, we’ve helped over 7.5 million customers access over $42 billion in consumer credit. With a relentless focus on improving our customers' financial well-being, we build products that put more money in their pocket and support their journey toward a better financial future. We’re backed by some of the most prominent technology investors and were most recently valued at $7.3B. We’re consistently recognized for our collaborative and inclusive culture. Most recently, we were named one of the World’s Top Fintech Companies by CNBC, Best Places to Work by Built In, Best Places to Work by the San Francisco Business Times, America’s Greatest Workplaces by Newsweek, Best Startup Employer by Forbes, and Healthiest Employers by Phoenix Business Journal. We’re looking for new team members who get excited about designing and delivering new and better products. Come join us and help build a better financial future for millions of people. About the Role We are seeking a strategic, hands-on, and highly analytical Senior Manager of Marketing Analytics to support growth and optimization of our credit card products. This role reports to the Head of Valuations & Investment Decisioning and will serve as a key business partner to Marketing, Product, Finance, Risk, and Executive Leadership teams by delivering data-driven insights that improve acquisition performance, customer engagement, profitability, and long-term portfolio growth. This role will be based in our Wilmington, Delaware office in a hybrid capacity.

Requirements

7+ years of experience in marketing analytics, business analytics, growth analytics, or related analytical roles
3+ years of 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
Exceptional communication and storytelling skills with the ability to influence executive stakeholders
Highly organized, intellectually curious, and comfortable operating in fast-paced, high-growth environments

Nice To Haves

Experience in consumer fintech, digital banking, BNPL, or credit card organizations
Familiarity with credit policy mechanics: application decisioning, risk-tiering, and the linkage between origination quality and portfolio performance
Prior people leadership or team management experience

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
Partner closely with Growth Marketing teams to optimize campaign targeting, channel mix, creative performance, and customer acquisition cost (CAC)
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
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
Partner with Product and Risk teams to evaluate customer quality, credit performance, and unit economics
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
Translate large, complex datasets into meaningful insights for both technical and non-technical stakeholders
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
Serve as a trusted advisor to senior leaders on growth strategy, portfolio trends, and marketing investment decisions