Take your career to the next level! In the last few years our goal has been expansion, creating growth opportunities for many of our team members. Not only are we serious about growth, but we are also serious about helping our customers during hard financial times.
We take pride in providing solutions and offering a helping hand, not only to our customers but also to the communities we serve. As we continue to expand and grow into a national leader in consumer financing, we invite you to consider joining our team.
If you're passionate about making a meaningful impact in people's lives and bringing a personal touch to finance, we'd love to have you on board!
Job Purpose
The Senior Marketing Analyst turns complex market, customer, credit, campaign, and operational data into profitable growth strategies for our personal loan business. This role owns advanced analytics across direct mail, prequalified offers, digital and affiliate leads, and customer lifecycle programs; builds reliable data products and measurement frameworks; and partners with Credit Risk, Finance, Operations, Compliance, and Technology to improve acquisition economics, credit quality, customer experience, and return on capital. The analyst is expected to work independently, automate repeatable processes, communicate clearly with senior leaders, and use modern AI tools responsibly to accelerate coding, analysis, documentation, and insight generation without compromising accuracy, privacy, security, or regulatory obligations.
Duties and Responsibilities
- Own end-to-end measurement and optimization of direct-mail, prequalified, digital, affiliate, email, and retention campaigns using response, conversion, booked volume, cost per booked loan, lifetime value, net credit loss, contribution margin, and return-on-capital metrics.
- Build customer and prospect segmentation, targeting, offer, channel, and contact-strategy recommendations using credit-bureau, first-party, digital, geographic, and operational data.
- Develop reproducible production workflows leveraging Python, AI tools like Claude, and SQL to score audiences, apply eligibility and suppression rules, assign offers and branches, create mail and lead files, and generate selection waterfalls and forecasts.
- Establish automated quality controls, reconciliations, peer-review checks, documentation, and audit trails so every campaign population, exclusion, offer, and downstream file is complete, accurate, explainable, and reproducible.
- Measure the full customer lifecycle—including application, approval, funding, renewal, retention, delinquency, loss, and profitability—and translate findings into changes to targeting, pricing, offers, and channel strategy.
- Design and evaluate champion/challenger tests, holdout