Paytm

Assistant Manager – Product Analyst, Lending

Paytm

full-time

Posted on:

Origin:  • 🇮🇳 India

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Job Level

JuniorMid-Level

Tech Stack

PythonSQLTableau

About the role

  • Build & monitor funnel performance for various merchant lending offerings.
  • Write complex SQL queries to extract, clean, and analyze large datasets.
  • Conduct Root Cause Analysis (RCA) to identify bottlenecks or anomalies in product flows to deliver actionable insights and recommendations to Product Managers.
  • Generate insights and validate hypotheses by working closely with Product Managers on user product interaction data.
  • Keep plugged in to the latest developments in the data engineering, analytics and sciences ecosystem leveraging technologies such as LLMs to solve repetitive problems using a platform approach.
  • Create dashboards and reports using Looker, MS Excel, and other BI tools to track KPIs.
  • Collaborate with engineering, risk, and operations to support product experimentation and data validation.
  • Automate regular reporting and deep dives for advanced analysis.

Requirements

  • Bachelor’s degree in Engineering, Mathematics, Statistics, or a related field.
  • 2–4 years of experience in a data or product analytics role, preferably in fintech
  • Strong proficiency in SQL (window functions, CTEs, joins, nested queries, etc.).
  • Hands-on experience with Python for data analysis and automation.
  • Experience working with Looker (or similar BI tools like Tableau, Power BI).Advanced skills in Microsoft Excel, including pivot tables, data cleaning, and charting.
  • Strong problem-solving skills with a structured approach to analysis.
  • Ability to communicate complex data insights in a clear and actionable manner.
  • Experience with AI/ML tools and ability to leverage LLMs (e.g., ChatGPT, Claude) for data summarization, insight generation, and automation.
  • Familiarity with prompt engineering and an understanding of agentic AI systems and their applications in product analytics.
  • Familiarity with A/B testing and experimentation design. (Nice to Have)
  • Exposure to lending or risk-related product workflows. (Nice to Have)
  • Understanding of funnel analysis, conversion optimization, and behavioral analytics. (Nice to Have)