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.
Responsibilities
- 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.
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. EEO/Minorities/Females/Vets/Disabilities.
Skills Required
- 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 within the banking or insurance domain
- Four years of experience with SQL
- Four years of experience with Python
- Four years of experience with 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
EXL Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.
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Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
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Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
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Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.
EXL Insights
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
