Epaylater-Data Science Analytics

Reposted 19 Days Ago
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Mumbai, Maharashtra, IND
In-Office
Junior
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Build and maintain scalable analytics infrastructure and predictive models; define analytics roadmap; run experiments for acquisition, churn, delinquency and profitability; create dashboards and automated reports; monitor model and business performance; ensure data accuracy and partner with cross-functional teams.
Summary Generated by Built In
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

Skills Required

  • 2+ years of hands-on analytics experience in fintech, financial services, startup, consulting, or related environment
  • Strong proficiency in SQL
  • Strong proficiency in 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
  • 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
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The Company
100 Employees

What We Do

NextHire Consulting is an AI-driven recruiting platform that streamlines the hiring process for companies. By leveraging AI agents for sourcing, screening, and interviewing, the platform enables teams to focus on pre-qualified finalists. It provides data-driven insights into candidate soft skills and behavioral styles, aiming to disrupt traditional recruitment models with efficient, automated, and science-based talent acquisition solutions for businesses of all sizes.

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