Senior Marketing Data Science Analyst
Fay Servicing - Chicago
Work at Fay Servicing
Overview
- View job
Overview
This range is provided by Fay Servicing, LLC. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $120,000.00/yr - $145,000.00/yr Additional compensation types Annual Bonus 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. We are currently looking for a Senior Marketing Data Science Analyst 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 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 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 Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Analyst and Business Development Referrals increase your chances of interviewing at Fay Servicing, LLC by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Disability insurance Get notified about new Marketing Data Analyst jobs in Chicago, IL . Chicago, IL $61,500.00-$162,500.00 2 weeks ago Chicago, IL $90,000.00-$110,000.00 6 days ago Chicago, IL $70,000.00-$80,000.00 4 weeks ago Chicago, IL $65,000.00-$75,000.00 5 days ago Chicago, IL $50,000.00-$60,000.00 1 day ago Chicago, IL $70,000.00-$75,000.00 1 week ago Senior Business Data Analyst, Member Experience Reporting Senior Business Data Analyst, Fraud, Waste, and Abuse Reporting Chicago, IL $70,000.00-$75,000.00 5 days ago Business Analyst/Enterprise Data Management Chicago, IL $70,000.00-$78,200.00 1 week ago Chicago, IL $60,000.00-$75,000.00 1 week ago Chicago, IL $61,400.00-$94,070.00 2 weeks ago Chicago, IL $49,305.00-$65,415.00 5 days ago Customer Remediation Data Analyst - Consumer & Business Banking Risk Chicago, IL $105,400.00-$124,000.00 1 week ago Northbrook, IL $64,000.00-$74,000.00 1 week ago Chicago, IL $60,000.00-$68,000.00 3 weeks ago Chicago, IL $49,305.00-$65,415.00 2 weeks ago Chicago, IL $50,000.00-$80,000.00 2 months ago Quantitative Market Research Analyst, Healthcare Chicago, IL $59,000.00-$65,000.00 1 week ago Chicago, IL $49,305.00-$65,415.00 5 days ago Chicago, IL $68,000.00-$96,000.00 6 days ago Chicago, IL $59,850.00-$82,740.00 12 hours ago Northbrook, IL $70,000.00-$82,000.00 5 days ago Chicago, IL $73,500.00-$89,000.00 4 days ago Chicago, IL $90,000.00-$105,000.00 2 weeks ago Chicago, IL $88,000.00-$110,000.00 2 hours ago Chicago, IL $88,000.00-$110,000.00 1 day ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr