Responsibilities

• Marketing Performance & Campaign Optimization
• Campaign & Channel Performance: Partner closely with Growth Marketing teams to analyze and optimize marketing campaigns, acquisition funnels, channel mix, creative performance, and customer acquisition costs (CAC) across direct mail, digital, and affiliate channels.
• Optimization Engine Support: Collaborate across credit, finance, and strategy teams to support campaign launches and help refine targeting frameworks to maximize growth while maintaining risk thresholds.
• Audience & Funnel Analysis: Conduct exploratory data analysis to uncover cardholder behavior patterns, audience segmentation opportunities, and application funnel drop-off dynamics.
• Experimentation & Strategic Insights
• A/B & Multivariate Testing: Design, implement, and measure rigorous testing frameworks for marketing campaigns, targeting strategies, and creative assets.
• Impact & Statistical Analysis: Perform detailed test reads and statistical analyses to determine significance, conversion impacts, and downstream business impact on marketing KPIs.
• Executive Storytelling: Synthesize complex datasets into actionable, data-driven recommendations and deliver compelling presentations to leadership to guide marketing spend and strategy.
• BI, Reporting & Greenfield Analytics
• Automated Reporting Infrastructure: Build and maintain comprehensive dashboards and automated reporting solutions (conversion funnels, transaction trends, and channel performance) from the ground up.

Requirements

• Experience: 5+ years of experience in marketing analytics, growth analytics, or business analytics.
• Domain Knowledge: Experience supporting credit card, consumer lending, digital banking, or fintech products strongly preferred. Strong familiarity with card acquisition funnels, marketing channels (e.g., Direct Mail, Digital, Affiliates), and lifecycle metrics.
• Technical Skills: Advanced proficiency in SQL and Excel and experience working with large-scale datasets. Hands-on experience with analytical programming languages (Python or R) and visualization tools (Tableau, Power BI, etc.).
• Testing & Analytics: Deep understanding of experimentation methodologies, statistical analysis, and campaign measurement.
• Business Acumen: Understanding of unit economics basics (CAC, LTV, conversion rates) and how marketing performance directly impacts business growth.
• Communication: Exceptional communication and storytelling skills with a track record of translating technical data into actionable insights for non-technical leadership.
• Mindset: Highly organized, intellectually curious, and comfortable building from zero in a fast-paced environment.

Benefits

• Competitive salary ($140K-$190K) and stock option plan
• Paid coverage of medical, dental and vision insurance
• Flexible PTO
• Opportunities for professional growth and development
• Paid parental leave
• Health & wellness initiatives