AVP, Marketing Analytics

Overview

Join to apply for the AVP, Marketing Analytics role at Fay Financial

Founded in 2008, The Fay Group is a diversified real estate services company offering a complete range of home ownership products and services to include mortgage servicing, property renovations, property management, realty, business purpose lending, and insurance to homeowners, investors, and clients nationwide. We consider the people behind those mortgages, and work hard to give them the best opportunity to stay in their homes by providing solutions to navigate the challenges of home ownership while working toward their long-term financial goals.

We are currently looking for an AVP, Marketing Analytics to join our team.

The AVP, Marketing Analytics is responsible for building data models to predict customer behavior, creating segmented lead campaign populations and tracking, and assisting with channel/journey automation. This role analyzes and incorporates sales outcomes into the models, builds automated, detailed reports to measure execution against campaigns and revenue growth targets, and turns data into Insights and Implications. The position plays a key role in intercompany lead referrals, measurement, conversion, and revenue.

This role develops predictive models/segmentations from various internal and external consumer and proprietary data sources from business to business. The role is responsible for identifying the availability of internal and external sources and recommending additional data that can improve the reliability of predictive models. This role is a collaborative partner with the corporate Data and Advanced Analytics teams.

• Build data models to predict customer behavior and create segmented lead campaign populations and tracking.
• Assist with channel/journey automation and analyze sales outcomes to inform model improvements.
• Develop automated, detailed reports to measure execution against campaigns and revenue growth targets.
• Turn data into insights and implications to support decision-making.
• Collaborate on intercompany lead referrals, measurement, conversion, and revenue strategies.
• Develop predictive models and segmentations from various internal and external data sources (business-to-business).
• Identify data sources and recommend additional data to improve model reliability.
• Partner with corporate Data and Advanced Analytics teams.

• Bachelor’s degree in a related field
• 10 years of experience in information/data science, data analysis, and modeling in a marketing context
• Mortgage, Real Estate, or Financial Services experience is strongly preferred
• 5+ years of Marketing Lead Management, including prospect/customer segmentation, journeys, test & learn, funnel conversion, program measurement, and report automation
• Prior experience delivering complex leads and prospects to multiple business units strongly preferred
• Previous experience managing people and leading teams preferred
• Proficiency in data analysis tools and programming languages such as SQL and SAS
• Proficiency in data visualization tools such as Power BI or similar
• Experience with CRM platforms such as Microsoft Dynamics, Hub Spot, Total Expert, or similar
• Demonstrated experience developing predictive models and statistical analyses
• Strong skills in MS Word, Excel, and Outlook
• Experience in regression modeling with tools like Python or similar
• Strong verbal and written communication skills
• Strong interpersonal skills with the ability to collaborate effectively with multiple stakeholders across the organization
• Strong analytical skills
• Solid decision-making abilities and sound judgment
• People management skills with the ability to coach and train others
• Strong time management skills
• Ability to prioritize numerous tasks and manage shifting priorities
• Client-focused with strong execution skills and results orientation
• High level of precision with attention to detail and consistency
• Flexible, open to change, and able to learn quickly
• Ability to work collaboratively and provide guidance for working groups

• Medical, Dental, and Vision Insurance
• Company Paid Life Insurance
• Disability Insurance
• Pet Insurance
• 401k Program with Employer Matching
• 3…