2+ YearsMumbaiAbout ePayLaterePayLater 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 setting.
- 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 communi