Description
- 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, PowerBI) 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.
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