Assistant Vice President

EXL

. Drive product growth and analytics initiatives for digital lending products by analyzing customer behavior and marketing campaign performance .

Posted 10/16/2026full-timeNew York City • New York • United StatesLead💰 $173,000 - $183,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in data analysis and statistical modeling to drive product growth and optimize marketing performance, utilizing tools like SQL, Python, Tableau, and Power BI. Proven ability to lead analytics teams and develop data-driven strategies that enhance customer engagement and operational efficiency.

Highest-signal resume keywords

Master's Degree In Business AnalyticsSQL ProficiencyPython ProficiencyExperience With TableauStatistical Analysis Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical AnalysisA/B TestingData VisualizationPredictive ModelingCustomer SegmentationConversion Rate OptimizationData-Driven Strategy DevelopmentMachine Learning TechniquesOperational Efficiency Improvement

Soft Skills

Team LeadershipMentoringCollaborationCommunication

Tools & Technologies

TableauPower BISQLPythonDigital Analytics Platforms

Industry Keywords

Digital LendingMarketing Campaign PerformanceCustomer Behavior AnalysisBanking DomainInsurance Domain

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

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
Optimize conversion rates and revenue performance
Build and maintain automated dashboards and reporting systems for real-time marketing funnel performance and operational KPIs using Tableau and Power BI
Analyze large datasets from internal databases and digital analytics platforms to identify customer segmentation opportunities and optimize marketing targeting strategies
Improve customer lifecycle engagement
Apply statistical analysis and machine learning techniques, including regression and predictive modelling, to identify 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, and enhance decision-making
Lead and mentor the analytics team by guiding technical analysis, reviewing methodologies, and aligning work with business objectives and product growth strategies

Requirements

What you’ll need

Master’s degree in business Analytics, Data Science, Statistics, Computer Science, or a directly related quantitative field
Four (4) years of experience in risk analysis for business development and finance in the banking or insurance domain
4 years of experience with SQL
4 years of experience with Python
4 years of experience with business intelligence tools such as Tableau or Power BI
4 years of experience with statistical analysis, data visualization, and A/B testing methodologies
4 years of experience analyzing large datasets and developing data-driven strategies to improve product growth, marketing performance, or operational efficiency
Ability to work 40 hours per week, 9:00am–5:00pm
Position may require travel to various and unanticipated workplaces throughout the U.S.

Benefits

Comp & perks

Telecommuting is permitted
Employee referral program
EEO/Minorities/Females/Vets/Disabilities