Epaylater-Data Science Analytics
At a glance
Mid-level Data Science role at Nexthire. Mumbai · full-time.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Set the analytics roadmap and keep it tied to business goals
- Build and maintain data warehouses, data marts, and the infrastructure supporting them
- Create predictive models and scoring systems, then track their performance and improve them
- Work with business teams on experiments for acquisition, churn, delinquency, and profitability
- Deliver insights through dashboards, automated reports, MIS, and analytical queries
What you bring
- At least two years of hands-on analytics work in fintech, financial services, startups, consulting, or a related setting
- Strong working ability in SQL and Python
- Experience managing, deploying, and monitoring data systems, plus exposure to A/B tests or test-and-learn methods
- You can work with large datasets and explain useful findings to business stakeholders
Who this fits
This role suits a mid-level analyst who combines hands-on analytics with communication and stakeholder skills. The position is based in Vikhroli, Mumbai.
From the employer
Data Analyst | 2+ years | Fintech
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 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, MumbaiExperience: 2 years and above
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