Salary
💰 $110,000 - $137,000 per year
About the role
- Drive data-informed decision-making through advanced funnel analysis and experimentation for personal loan and credit card products
- Optimize customer journey and improve conversion rates across Personal Loans and Credit Card products
- Lead end-to-end A/B testing program, from hypothesis formation to test design, implementation, and analysis
- Develop and maintain comprehensive funnel analytics to identify conversion bottlenecks and opportunities
- Partner with Product, Marketing, and Engineering teams to drive optimization initiatives
- Build and maintain dashboards to track key conversion metrics and experiment results
- Conduct deep-dive analyses to understand user behavior and drop-off points
- Present findings and recommendations to stakeholders at all levels
- Support business planning and forecasting through data and analytics
- Collaborate closely with product managers and stakeholders to define and prioritize product roadmaps, ensuring alignment with customer needs and business goals.
Requirements
- Bachelor’s Degree in a quantitative (STEM) field with 5 years of analytics experience, preferably in financial services or fintech companies, or a Master's degree with 3+ years of experience.
- Strong SQL and Advanced Excel skills are necessary.
- Python and R experience preferred
- Good exposure to Credit Card application and customer engagement journeys
- Strong experience with A/B testing tools (Optimizely or similar)
- Deep understanding of statistical concepts and experimental design
- Proficiency with web analytics platforms (HEAP, Google Analytics, Amplitude, or similar tools)
- Excellent communication and presentation skills with the ability to present complex data analysis, insights, and recommendations to senior leadership.
- Strong analytical and problem-solving abilities.
- Project management and prioritization skills.
- Collaborative mindset and ability to work cross-functionally.
- Ability to work independently with minimal supervision, manage several simultaneous projects, and proactively deliver key analytical projects.