
Senior Manager, Direct Mail Analytics
Job Description
Duties and Responsibilities:
Direct Mail Marketing Analytics
- Lead direct mail analytics strategy across the full campaign lifecycle, including audience selection, segmentation, offer strategy, response performance, approval performance, and downstream conversion.
- Analyze key channel metrics, including mail volume, deliverability, response rate, application rate, approval rate, booking rate, cost per booked loan, return on investment, and credit performance.
- Develop and enhance frameworks to identify performance gaps and opportunities across prospecting, prescreen strategy, creative, timing, and offer design.
- Design, prioritize, and evaluate direct mail tests with clear measurement plans and actionable recommendations.
- Experience with response modeling, segmentation, propensity modeling, or offer optimization.
- Strong sense of ownership and urgency to rapidly assess, analyze and recommend solutions any direct mail performance related issues
- Build scalable data products, dashboards, and performance monitoring solutions in Snowflake and related business intelligence environments.
- Use Python to automate analytics workflows, conduct deep-dive analyses, build predictive models, and improve experimentation speed.
- Apply AI automation tools and methods to streamline recurring analysis, insight generation, data quality monitoring, documentation, and reporting.
- Partner with Credit Risk and Marketing teams to balance volume growth, customer quality, unit economics, and underwriting constraints.
Preferred Qualifications:
Education & Experience
- Bachelor’s degree in Statistics, Economics, Mathematics, Engineering, Computer Science, or a related quantitative field. Master’s degree preferred.
- Minimum of 7+ years of experience in analytics, marketing analytics, credit analytics, or strategy within consumer lending.
- Meaningful direct experience with direct mail analytics, including campaign performance measurement and test design.
- Strong preference for experience in personal loans, unsecured lending, or related consumer credit products.
Technical Skills
- Advanced proficiency in Python for analytics, modeling, and workflow automation.
- Strong experience working in Snowflake and SQL-based analytical environments.
- Demonstrated experience using AI automation tools to improve analytical productivity, process efficiency, or reporting quality.
Leadership & Communication
- Ability to translate complex analytical results into clear business recommendations
- Demonstrated success influencing stakeholders at multiple levels, both technical and non-technical
- Strong organizational skills with the ability to manage multiple complex projects simultaneously
- Ability to work with third party vendors including credit bureaus and campaign processing companies