Data Analyst

About the Company

ePayLater enables customers to “Buy Now, Pay Later” for purchases made across online and offline platforms. As a fast-growing fintech organization, we are building innovative payment solutions that simplify customer experiences and drive financial inclusion.

Responsibilities

• Define, manage, and continuously refine the analytics roadmap aligned with business objectives
• Build, deploy, and maintain scalable data infrastructure, including data warehouses and data marts
• Develop and maintain predictive models and scoring infrastructure to support decision-making systems
• Identify opportunities to leverage alternate data sources for improving predictive capabilities
• Partner with cross-functional business teams to design and execute experiments focused on customer acquisition, churn reduction, delinquency control, and profitability improvement
• Generate actionable insights through automated reporting, dashboards, MIS, and analytical queries
• Monitor model and business performance metrics and recommend optimization strategies
• Ensure data accuracy, consistency, and reliability across reporting systems

Requirements

• 2+ years of hands-on analytics experience in fintech, financial services, startup, or consulting
• Strong proficiency in SQL and Python
• Good understanding of analytical problem-solving frameworks and data-driven decision-making
• Hands-on experience with data management, deployment, and performance monitoring frameworks
• Exposure to experimentation methodologies such as A/B testing
• Ability to work with large datasets and derive meaningful business insights
• Strong communication and stakeholder management skills

Preferred Qualifications

• Experience in fintech, lending, BNPL, or risk analytics domains
• Familiarity with BI/reporting tools and dashboarding platforms
• Knowledge of predictive modeling, customer analytics, and behavioral scoring models