Epaylater-Data Science Analytics

2+ YearsMumbaiAbout 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.
\n 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

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

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• 2+ years of hands-on analytics experience in a fintech, financial services, startup, consulting, or related environment.
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• Strong proficiency in SQL and Python.
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• Good understanding of analytical problem-solving frameworks and data-driven decision-making.
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• Hands-on experience with data management, deployment, and performance monitoring frameworks.
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• Exposure to experimentation methodologies such as A/B testing or test-and-learn approaches.
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• Ability to work with large datasets and derive meaningful business insights.
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• Strong communication and stakeholder management skills.
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• Self-driven, detail-oriented, and comfortable working in a fast-paced environment.
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Preferred Skills

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

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• Opportunity to work in a rapidly growing fintech ecosystem.
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• Exposure to high-impact business and data-driven decision-making.
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• Collaborative and entrepreneurial work environment.
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• Opportunity to build scalable analytics systems from the ground up.
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Location: Vikhroli, Mumbai Experience: 2 years and above