Senior Data Analyst/Modeler

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 a Senior Data Analyst/Modeler to join our team.

The Sr. Data Analyst/Modeler is responsible for building data models to predict customer behavior, creating lead campaigns, analyzing and incorporating sales outcomes into the models, and building summary and detailed reports to measure execution against revenue growth targets.

The role will develop predictive models 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.

Qualifications Include:

• Bachelor's degree related field
• 5+ years of experience in information/data science, data analysis, modeling, in a marketing context
• Mortgage, Real Estate of Financial Services experience is strongly preferred
• 3+ years of Marketing Lead Management, including prospect/customer segmentation, journeys, test & learn, funnel conversion and program measurement
• Prior experience delivering complex leads and prospects to multiple business units strongly 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 Hubspot, Total Expert or similar
• Demonstrated experience developing predictive models and statistical analyses
• Solid skills and experience in MS Word, Excel and Outlook
• 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
• 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, ability 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 $120,000.00-$145,000.00 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.