Responsibilities

• Design, develop, and maintain analytical models to measure and forecast marketing performance across digital and traditional channels, including paid search, paid social, direct mail, email, website traffic, and campaign conversion funnels.
• Develop attribution frameworks, forecasting methodologies, and performance measurement strategies to optimize marketing spend and maximize ROI.
• Build and maintain scalable datasets, data pipelines, and analytical processes that support marketing reporting, customer segmentation, campaign targeting, predictive modeling, and decision-making.
• Leverage SQL, Python, Power BI, and other analytics tools to transform complex data into actionable business insights.
• Develop campaign monitoring frameworks, KPI scorecards, and reporting that provide visibility into marketing effectiveness .
• Analyze campaign performance and identify opportunities to improve lead generation, customer acquisition, engagement, and conversion outcomes.
• Partner with Marketing to optimize analytics platforms and marketing technology tools such as HubSpot, Google Analytics, Google Tag Manager, Salesforce, and other reporting solutions.
• Evaluate new technologies and data sources that enhance marketing measurement capabilities.
• Utilize competitive intelligence tools including SEMrush, Competiscan, Lashback, and related platforms to identify market trends, emerging opportunities, and competitive positioning.
• Develop recurring competitive intelligence reporting and provide strategic recommendations based on market trends and competitor activity.

Requirements

• 1+ years of related experience.
• Bachelor's degree in related field required; Masters or MBA in related field preferred.
• Entry level knowledge of residential mortgage industry in Correspondent or Retail Lending including; sales, operations, capital markets and/or other residential mortgage products and services.
• Entry level knowledge of applicable regulatory and legal compliance obligations, rules and regulations, industry standards and practices.
• Intermediate to advanced experience with C#, SQL Server, Excel and Excel VBA, PowerBI.
• Intermediate to advanced experience with statistical analysis, including the use of tools like R or Python.
• Intermediate speaking and writing communication skills.

Benefits

• We offer all the important things you'd want — like competitive salaries, an ownership stake in the company, medical and dental insurance, time off, a great 401k matching program, tuition assistance program, an employee volunteer program, and a wellness program. In addition, you’ll have the opportunity to bolster your business knowledge, learning the ins and outs of how successful companies operate and manage their finances, giving you invaluable hands-on experience to help grow your career!