The AVP, Marketing Analytics at GenStone is responsible for building predictive data models and analyzing customer behavior to drive marketing strategies. This role requires extensive experience in data analysis within a marketing context, particularly in the mortgage or real estate sectors.
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 homeownership while working toward their long-term financial goals. Join Us on Our Journey 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. Qualifications include: • 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, HubSpot, Total Expert, or similar • Demonstrated experience developing predictive models and statistical analyses • Solid skills and experience 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 coupled with 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 new things quickly • Ability to work in a collaborative environment and provide guidance for working groups Submit Your Resume to Learn More Featured Benefits • Medical, Dental, and Vision Insurance • Company Paid Life Insurance • Disability Insurance • Pet Insurance • 401k Program with Employer Matching • 3 Weeks Paid Time Off (PTO) • Paid Holidays • Wellness Initiatives • Employee Assistance Program • Eligible for Hybrid Work Schedule with Remote Flex Days Compensation • The hiring range for this position is between $130,000.00-$160,000.00 annually • This position is eligible for an annual discretionary bonus Fay Cares! The Fay-Constructive Foundation was established to fulfill the philanthropic mission of The Fay Group employees to serve the communities in which they live and work. Our employees make voluntary contributions to the Foundation. Each quarter, their contributions are donated to organizations focused on improving education opportunities, combating poverty, and supporting military service members and first responders. At Fay, we believe that the best ideas come from having a team that is diverse in backgrounds, experiences, and perspectives. We strive to ensure each of our employees feels valued, respected, and included, and is presented with equal opportunities to be successful. Fay is an equal-opportunity workplace. The Fay Group and affiliated companies participate in E-Verify. For more information, go to www.dhs.gov/E-Verify. Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
The AVP, Marketing Analytics at GenStone is responsible for building predictive data models and analyzing customer behavior to drive marketing strategies. This role requires extensive experience in data analysis within a marketing context, particularly in the mortgage or real estate sectors.
Fay Financial is seeking an AVP, Marketing Analytics to develop predictive models and analyze customer behavior to enhance marketing strategies. This role requires extensive experience in data analysis within the marketing context, particularly in the mortgage and real estate sectors.
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The AVP, Marketing Analytics at GenStone is responsible for building predictive data models and analyzing customer behavior to drive marketing strategies. This role requires extensive experience in data analysis within a marketing context, particularly in the mortgage or real estate sectors.
Fay Financial is seeking an AVP, Marketing Analytics to develop predictive models and analyze customer behavior to enhance marketing strategies. This role requires extensive experience in data analysis within the marketing context, particularly in the mortgage and real estate sectors.
Doner is looking for a Director of Digital Marketing & Media Analytics to lead analytics and data strategy, driving insights and results for clients. This role requires a thought leader in digital media analytics with strong leadership and communication skills.
Fay Servicing is seeking an AVP, Marketing Analytics to lead data modeling and customer behavior analysis in Chicago, Illinois. This role focuses on predictive analytics, marketing lead management, and collaboration with data teams to drive revenue growth.
Blue Shield of CA is seeking a Principal for Marketing and Campaign Analytics in Baltimore, Maryland, to drive data-informed strategies and deliver actionable insights for healthcare insurance clients. The ideal candidate will lead projects, mentor junior analysts, and communicate complex ideas to senior leadership.
The Senior Manager of Global Marketing & C&CL Consumption & Purchase Advanced Analytics Intelligence Services at The Coca-Cola Company will lead strategic analysis of consumer behavior and enhance marketing analytics capabilities. This role focuses on transforming data into actionable strategies to drive growth.
The AVP, Marketing Analytics at GenStone is responsible for building predictive data models and analyzing customer behavior to drive marketing strategies. This role requires extensive experience in data analysis within a marketing context, particularly in the mortgage or real estate sectors.
Fay Financial is seeking an AVP, Marketing Analytics to develop predictive models and analyze customer behavior to enhance marketing strategies. This role requires extensive experience in data analysis within the marketing context, particularly in the mortgage and real estate sectors.
The AVP, Marketing Analytics at GenStone is responsible for building predictive data models and analyzing customer behavior to drive marketing strategies. This role requires extensive experience in data analysis within a marketing context, particularly in the mortgage or real estate sectors.