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Mid-level, generalist marketing-data role with common Python/SQL skills attracts moderate applicant competition.
Skills (Python, SQL, A/B testing) are transferable across industries though mortgage experience is preferred.
Explicit 3–5 years requirement and mandatory Python, SQL, and marketing analytics skills enforce moderate shortlisting filters.
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Build and maintain predictive and analytical models supporting mortgage marketing, origination, and borrower lifecycle decisions using Python or SAS.
Deliver analysis, models, campaign files, and insights to support marketing strategy and operations, including building and validating campaign files with accurate selection and suppression logic.
Automate and maintain ETL processes and recurring analytics to improve efficiency and ensure accuracy aligned with data governance standards.
Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field.
3–5 years of experience in marketing analytics, data science, or analytics roles.
Strong proficiency in Python and SQL (including complex joins, window functions, and subqueries).
Experience with marketing analytics, predictive modeling, and designing/analyzing marketing tests such as A/B tests.
Skilled in hands-on application of statistical and machine learning techniques for marketing or borrower behavior analytics.
Experienced working in fast-paced environments requiring simultaneous management of multiple requests and translating loosely defined business questions into precise analytical outputs.
Experience or familiarity with mortgage, financial services, or regulated data environments, and ability to communicate technical analytics to non-technical business stakeholders.