Director, Marketing Analytics

Position Summary

Responsible for serving as a strategic driver of customer-level insights, marketing effectiveness, and revenue growth. This role owns end-to-end customer and cohort analytics across the full lifecycle—from first touch through funded loan and post-close engagement—translating complex data into clear, actionable insights for executive leadership. The Director will lead full-funnel attribution and unit economics analysis to optimize digital marketing ROI, improve conversion efficiency, and inform lifecycle strategy, prioritization, and personalization.

This position ensures the performance of all duties in accordance with the company’s policies and procedures, all U.S. state and federal laws and regulations, wherein the company operates.

• Deep understanding of mortgage‑specific KPIs, including Cost Per Lead (CPL), Cost Per Funded Loan (CPFL), and pull‑through rates at every stage of the pipeline.
• Researches and analyzes consumer lending market trends to identify opportunities for improvement.
• Owns customer‑level and cohort‑based analysis across the full lifecycle, from first touch through funded loan and post‑close engagement.
• Develop insights into customer behavior, intent signals, and drop‑off patterns to inform lifecycle strategy, prioritization, and personalization.
• Partners with Marketing and Product teams to design and analyze A/B tests for landing pages and digital application flows to reduce drop‑off.
• Partners with Revenue Operations and Sales leadership to drive revenue and profitability growth with data insights.
• Partners with Data Science team to build and deploy machine learning models that prioritize leads based on conversion probability, credit profile, and intent data to optimize sales team efficiency.
• Helps in the creation and implementation of strategies to promote consumer loans to target audiences.
• Translates complex technical and data findings into actionable strategic insights for the C‑suite.
• Creates and delivers insightful presentations that summarize complex analyses and inform on business decisions.
• Performs other duties and projects assigned.

• Bachelor’s degree in Business Economics or Engineering. Master’s Degree preferred, and/or minimum of seven (7)+ years of progressive experience mining large complex data sets, using a variety of advanced quantitative/modelling techniques in a corporate marketing discipline.
• Expert‑level experience in measuring the ROI of digital marketing spend across social, search, and lead aggregators.
• Minimum of three (3)+ years’ experience in data manipulation and analysis required.
• Experienced using the modern data stack (e.g., Databricks, MS SQL) and BI tools (Tableau, Power
  
  BI) to ensure a ‘single source of truth’ for revenue and marketing data.
• Minimum of three (3) years’ experience working in a fast paced, dynamic environment with rapid testing and iteration, moving at the speed of digital markets rather than traditional bank cycles.
• Experience working in matrixed environments, across multiple teams of marketing managers, data scientists and analysts in remote or hybrid environments.

• Aggressive compensation package based on experience and skill set.
• Inclusive, diverse, and collaborative culture where people from all backgrounds can thrive.
• Work with other passionate, purposeful, and customer‑centric people.
• Extensive internal growth and professional development opportunities including tuition reimbursement.
• Comprehensive benefits package including Medical/Dental/Vision.
• Wellness program to support both mental and physical health.
• Generous paid time off for both exempt and non‑exempt positions.

Base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay for this role is between $104,000 and $170,000. Your base pay will depend on multiple individualized factors, including your job‑related knowledge/skills, qualifications, experience, and market location.

We are an equal opportunity employer and value diversity in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.