Assistant Vice President

EXL•New York, NY
•$173,000 - $183,000•Hybrid

About The Position

Drive product growth and analytics initiatives for digital lending products by analyzing customer behavior and marketing campaign performance. Design and launch digital marketing and product engagement programs across web and mobile applications. 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. The role may require travel to various and unanticipated workplaces throughout the U.S. Telecommuting is permitted. The position is 40 hours per week, from 9:00 a.m. to 5:00 p.m., with a salary range of $173,000 to $183,000 per year.

Requirements

  • Master’s degree in Business Analytics, Data Science, Statistics, Computer Science, or a directly related quantitative field.
  • Four years of experience in risk analysis for business development and finance in the banking or insurance domain.
  • Four years of experience with SQL.
  • Four years of experience with Python.
  • Four years of experience using business intelligence tools such as Tableau or Power BI.
  • Four years of experience with statistical analysis, data visualization, and A/B testing methodologies.
  • Four years of experience analyzing large datasets and developing data-driven strategies to improve product growth, marketing performance, or operational efficiency.

Responsibilities

  • Build and maintain automated dashboards and reporting systems to monitor real-time marketing funnel performance and operational KPIs using data visualization tools such as 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 and predictive modeling, to identify key drivers of customer behavior and marketing effectiveness.
  • Partner with marketing, product management, credit risk, engineering, and operations teams to translate analytical insights into product improvements and strategic growth initiatives.
  • Develop automated processes and analytical frameworks to improve operational efficiency, reduce manual reporting work, and enhance decision-making across business teams.
  • Lead and mentor the analytics team by guiding technical analysis, reviewing methodologies, and ensuring alignment with business objectives and product growth strategies.
  • Travel to various and unanticipated workplaces throughout the U.S. may be required.
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