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.

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.
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.
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

Pre-tax and post-tax retirement savings plans with a competitive company matching program
Generous paid time-off plans including vacation, personal/sick time, paid short-term and long-term disability leaves, paid parental leave, and paid company holidays
Multiple health care plans to choose from, including dental and vision options
Flexible Spending Plans for Health Care, Dependent Care, and Health Reimbursement Accounts
Company-paid benefits such as life insurance, wellness platforms, employee assistance programs, and Health Advocate programs
Other great discounted benefits include identity theft protection, pet insurance, fitness center reimbursements, and many more!

Senior Manager, Direct Mail Analytics

Key skills