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Paytm is India's leading financial services company offering full-stack payments and financial solutions to consumers, merchants, and platforms. The lending analytics team owns the personal loan funnel end-to-end, working across risk, product, growth, and operations to continuously improve conversion, approval rates, and disbursal volume.
In this role, you will own and monitor the personal loan funnel across multiple lending partners, tracking conversion, drop-off, and approval rates at each stage (lead, application, underwriting, disbursal). You'll conduct cohort-level performance analysis to identify underperforming lender segments or funnel stages and work with the risk team to refine approval logic. You'll design and maintain real-time dashboards in Looker for cross-functional stakeholders across Business, Product, Growth, and Risk Tech teams, and build threshold-based alerting systems to flag funnel deviations and anomalies for proactive response.
You'll partner with the call center and operations team to design data-driven prioritization models that improve outreach efficiency and conversion. You'll analyze drop-off and retargeting opportunities to recover users lost at various funnel stages, respond to ad-hoc data requests from finance, growth, and call center teams, and identify opportunities to automate recurring reporting and manual workflows using AI tools to improve team efficiency.
The role operates in a collaborative, output-driven environment with opportunities to improve Average Revenue Per User (ARPU) by unlocking cross-sell opportunities across Paytm's 500+ million registered users. You'll benefit from a 360-degree feedback culture supported by peer teams aligned with your goals.
REQUIREMENTS:
• 2–5 years of experience as a Business Analyst or Data Analyst, ideally in fintech, lending, or consumer-tech domain
• Strong SQL skills; working knowledge of Python for basic data analysis is a plus
• Hands-on experience with BI/dashboarding tools (Looker, Power BI, or similar)
• Solid grasp of statistics and ability to translate data into clear, actionable business narratives
• Experience working with or analyzing lending/credit/BNPL funnels is a strong plus
• Comfort working cross-functionally with risk, product, growth, and operations teams
• Bonus: experience using AI tools (e.g., Claude, ChatGPT) to automate reporting or analytical workflows
• Google Apps Script and Spark experience is a plus
• Nice to have: experience negotiating or influencing external partner risk criteria using data, or exposure to call center/ops prioritization or resource-allocation modeling
