Epaylater-Data Science Analytics

Data Analyst | 2+ years | Fintech 2+ YearsMumbai About ePayLater 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. We are looking for a highly analytical and data-driven professional who can help strengthen our analytics capabilities, build scalable data solutions, and contribute to business growth through actionable insights and predictive decision-making. Key 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 • 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 a fintech, financial services, startup, consulting, or related environment. • 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 or test-and-learn approaches. • Ability to work with large datasets and derive meaningful business insights. • Strong communication and stakeholder management skills. • Self-driven, detail-oriented, and comfortable working in a fast-paced environment. Preferred Skills • 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. Why Join Us? • Opportunity to work in a rapidly growing fintech ecosystem. • Exposure to high-impact business and data-driven decision-making. • Collaborative and entrepreneurial work environment. • Opportunity to build scalable analytics systems from the ground up. Location: Vikhroli, Mumbai Experience: 2 years and above