Data Analyst – Fintech (Buy Now Pay Later)

About the role

ePayLater enables customers to “Buy Now, Pay Later” across online and offline platforms. We are looking for a highly analytical, data‑driven professional to strengthen our analytics capabilities, build scalable data solutions, and drive 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 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.

Required profile

• 2+ years of hands‑on analytics experience in 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.

Required skills

• SQL
• Python

What we offer

• Opportunity to work in a rapidly growing fintech ecosystem.
• Exposure to high‑impact business and data‑driven decision‑making.
• Collaborative and entrepreneurial work environment.
• Chance to build scalable analytics systems from the ground up.