Manager, Marketing Analytics and Data Science

Design, build, and maintain predictive and analytical models to support mortgage marketing, origination, and borrower lifecycle decisions using Python or SAS.

Deliver hands-on analytics, models, campaign files, and insights, including building and validating marketing campaign files and automating data workflows.

Analyze marketing tests (A/B tests, holdouts) to measure impact and partner with business teams to translate questions into actionable analytical outputs.

Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field.

3–5 years of experience in marketing analytics, data science, or related analytics roles.

Strong proficiency in Python and SQL (including advanced query techniques).

Experience with marketing analytics, predictive modeling for marketing or borrower behavior, and marketing campaign support including file building and validation.

Experienced in hands-on predictive modeling and analytics specifically applied to marketing and borrower lifecycle decision support.

Able to translate loosely defined business problems into precise analytical solutions and deliver results quickly in a fast-paced environment.

Comfortable working with data preparation/ETL processes and automating workflows in a regulated or financial services context.