Job Location: San Francisco, CA
Work Mode: Hybrid (2-3 days/week in office)
Salary Range: $150K - $180K/Yr Base plus bonus and benefits
We are seeking hands-on product analytics professional to support a personal loan portfolio. This role will drive origination volume by identifying opportunities to increase demand generation by improving product features & funnel application conversion. The individual will monitor key performance metrics for business programs and campaigns, conduct root cause analyses when performance changes, and quantify the impact of initiatives through A/B testing. The ideal candidate combines strong analytical & problem-solving skills, SQL/Python coding proficiency, and brings deep expertise in campaign and funnel analytics.
ResponsibilitiesDesign and execute evaluation frameworks to assess product quality, accuracy, and user intent alignment
Define, track, and analyze KPIs and success metrics across the product lifecycle
Perform Product Analytics to understand customer behavior, product usage, and performance
Identify data, tracking, and instrumentation gaps and improve measurement capabilities
Develop and support A/B testing and experimentation to evaluate product strategies
Support data pipelines, reporting, and analytics infrastructure
Analyze feature adoption, engagement, retention, and product performance trends
Develop dashboards, reporting, and analytical insights to support product decision-making
Partner with Product, Engineering, Data Science, and Business teams to translate insights into actionable product improvements
Bachelor’s degree or higher in Engineering, Data Science, Statistics, Computer Science, or a related field
7+ years of relevant experience in Data Science, Product Analytics, or related disciplines
Proficiency in SQL and Python with experience working with large-scale products or event-based datasets
Experience with data platforms, BI/reporting, and hypothesis testing
Strong understanding of productperformance measurement and evaluation
Ability to work independently, identify information gaps, and prioritize high-impact initiatives
Experience in working with financial institutions like banks or fintech analytics
Strong communication and stakeholder management skills with the ability to work across functions
Skills Required
- Bachelor’s degree or higher in Engineering, Data Science, Statistics, Computer Science, or a related field
- 7+ years of relevant experience in Data Science, Product Analytics, or related disciplines
- Proficiency in SQL and Python
- Experience working with large-scale products or event-based datasets
- Experience with data platforms and BI/reporting
- Experience with hypothesis testing
- Strong understanding of product performance measurement and evaluation
- Ability to work independently, identify information gaps, and prioritize high-impact initiatives
- Experience working with financial institutions such as banks or fintech companies
- Strong communication and stakeholder management skills
- Ability to work cross-functionally
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.
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