Assistant Vice President

Drive product growth & analytics initiatives for digital lending products by analyzing customer behavior, marketing campaign performance. Design and launch new digital marketing and product engagement programs across web, mobile application. Develop data-driven experimentation frameworks and conduct A/B testing to evaluate marketing campaigns, product features, landing pages, and customer communication strategies to optimize conversion rates and revenue performance.

• Build and maintain automated dashboards and reporting systems to monitor real-time performance of marketing funnels, and operational KPIs using data visualization tools such Tableau and Power BI.
• Analyze large datasets from internal databases and digital analytics platforms to identify customer segmentation opportunities, optimize marketing targeting strategies, and improve customer lifecycle engagement.
• Apply statistical analysis and machine learning techniques including regression, predictive modelling to identify key drivers of customer behavior and marketing effectiveness.
• Partner with cross-functional teams including marketing, product management, credit risk, engineering, and operations to translate analytical insights into product improvements and strategic growth initiatives.
• Develop automated processes and analytical frameworks that improve operational efficiency, reduce manual reporting work, and enhance decision-making capabilities across business teams.
• Lead and mentor analytics team by guiding technical analysis, reviewing methodologies, and ensuring alignment with business objectives and product growth strategies.
• Position may require travel to various and unanticipated workplaces throughout the U.S. Telecommuting is permitted.

Requires master’s degree in business Analytics, Data Science, Statistics, Computer Science, or a directly related quantitative field plus Four (4) years of experience in Risk analysis for business development and finance in the banking or insurance domain.

Must have 4 years of experience in the following:

• SQL
• Python
• Business intelligence tools such as Tableau or Power BI
• Statistical analysis, data visualization, and A/B testing methodologies
• Analyzing large datasets and developing data-driven strategies to improve product growth, marketing performance or operational efficiency.

40 hours/week, 9:00am-5:00pm, Salary range: $173,000 to $183,000 per year.

Must cite job title and code EXL98 in response.com, LLC's employee referral program. EEO/Minorities/Females/Vets/Disabilities.