Optimize customer journey and improve conversion rates across personal loan and credit card products through advanced funnel analysis and experimentation.
Requirements
- Strong SQL and Advanced Excel skills are necessary.
- Python and R experience preferred
- 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)
Responsibilities
- Be a strategic thinker and identify new growth opportunities through robust data analysis, cross-functional collaboration, and presentation of well-thought-out actionable insights for 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
- Take Ownership and proactively build/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
Other
- 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.
- Good exposure to Credit Card application and customer engagement journeys
- 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.
- Excellent communication skills and ability to translate complex findings into actionable insights.
- 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.
