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Paytm, a pioneer in digital payments serving 450+ million consumers and 45+ million merchants, is seeking a Growth Manager for its Recharges & Utilities business pillar. This core business spans 20+ essential categories including Mobile Recharge, Electricity, DTH, and Loans.
In this role, you will be the "Growth Engine" for assigned categories, combining deep data insights with execution to drive user acquisition, retention, and P&L growth. You will own the complete data lifecycle and use analytics to inform high-impact growth campaigns.
Key Responsibilities:
Data Operations & Analytics: Perform daily data extraction and prepare transaction reports. Write and optimize SQL queries (Hive, BigQuery) to track business health and conduct ad-hoc analysis. Automate recurring reports using Advanced Excel and internal tools. Build data models that translate business questions into actionable insights. Leverage AI assistants (Claude, ChatGPT) to draft and validate SQL queries, summarize datasets, and produce first-pass insights.
Growth & Category Management: Support revenue targets by optimizing costs and identifying growth strategies. Identify user cohorts (e.g., lapsed payers) and execute custom campaigns for activation and reactivation. Monitor user journeys, identify funnel drop-offs, and implement improvements. Own key metrics: DAU, GMV, and month-on-month retention.
Marketing & Campaign Execution: Measure campaign performance to ensure efficient marketing spend. Track market trends and competitor offerings. Use AI tools to draft campaign briefs, personalize messaging by cohort, and prototype copy and creative variants for A/B testing.
AI-First Working Style: Treat AI tools as core to daily work—use Claude or similar assistants for SQL writing, Excel automation, data storytelling, and stakeholder summaries. Break business problems into clear prompts for AI acceleration while retaining judgment to validate outputs. Proactively identify repetitive work that can be automated. Understand data privacy and confidentiality boundaries when using AI with business data.
Requirements:
- 4–6+ years in Data Analyst, Business Analyst, or Growth roles (preferably E-commerce, Retail, or Fintech)
- Advanced Excel (VBA/Macros a plus) and strong SQL skills; experience with Hive, BigQuery, or Python
- Hands-on experience with Claude, ChatGPT, GitHub Copilot, or similar AI tools for coding, data analysis, or content generation; genuine interest in using AI to work faster
- Background in Engineering, Math, Statistics, or Economics
- Strong execution and cross-functional coordination (Product, Tech, Marketing)
- Clear communication for stakeholder and senior management updates
