Engagement Manager (EXL98)

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.Job Requirements:Requires masters 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. To apply: Send resume and cover letter to [email protected]. Must cite job title and code EXL98 in response. This notice is subject to ExlService.com, LLC's employee referral program.