Growth Management & Analytics- Recharges & Utilities I Exp- 4-6 Years

About the Role

About Paytm Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team Recharges & Utilities is a core business pillar for Paytm, spanning 20+ essential categories including Mobile Recharge, Electricity, DTH, and Loans. As a Manager on this team, you will be the “Growth Engine” — using deep data insight to identify opportunities and executing high-impact campaigns to acquire and retain millions of users. About the Role Analytical Execution & Category Growth We're looking for a high-ownership individual who is as comfortable writing SQL queries in Hive as designing a marketing campaign. You will own the full data lifecycle of your assigned categories and use that data to drive P&L growth and user retention — increasingly with AI tools like Claude as your everyday co-pilot for analysis, automation, and campaign creation. Core Roles & Responsibilities 1. Data Operations & Analytics (The “How”) - Data Extraction: Perform daily data extraction and prepare user-readable transaction reports. - Query Management: Write and optimize SQL queries day-to-day to track business health and run ad-hoc deep dives. - Automation: Use Advanced Excel and internal tools to automate recurring reports, streamlining MIS for leadership. - Data Modeling: Translate business questions (e.g. “Why is electricity bill churn increasing?”) into data models that surface actionable answers. - AI-Assisted Analysis: Use Claude or similar AI assistants to draft and debug SQL/queries, summarize large datasets, and produce first-pass insights — then apply your own judgment to validate and sharpen the output before it informs a decision. 2. Growth & Category Management (The “What”) - P&L Support: Help deliver r

Key Responsibilities

• 1. Data Operations & Analytics (The “How”)
• Data Extraction: Perform daily data extraction and prepare user-readable transaction reports.
• Query Management: Write and optimize SQL queries day-to-day to track business health and run ad-hoc deep dives.
• Automation: Use Advanced Excel and internal tools to automate recurring reports, streamlining MIS for leadership.
• Data Modeling: Translate business questions (e.g. “Why is electricity bill churn increasing?”) into data models that surface actionable answers.
• AI-Assisted Analysis: Use Claude or similar AI assistants to draft and debug SQL/queries, summarize large datasets, and produce first-pass insights — then apply your own judgment to validate and sharpen the output before it informs a decision.

Requirements & Qualifications

• Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.

Perks & Benefits

• Official mentor support
• verified hiring timeline
• and career progression.