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

Skills this role screens for

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.

The company

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.

The work

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.

The work

Core Roles & Responsibilities

This role expects you to treat AI tools as a core part of how you work, not an optional add-on:

• 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.
• Growth & Category Management (The “What”)
• P&L Support: Help deliver revenue targets by optimizing costs and identifying bottom-line-enhancing strategies.
• User Lifecycle: Identify specific user cohorts (e.g. “lapsed rent payers”) and run custom growth campaigns to drive activation and reactivation.
• Funnel Optimization: Monitor the user journey from landing to transaction; identify drop-offs and implement funnel improvements.
• Retention & GMV: Own key metrics including Daily Active Users (DAU), GMV, and month-on-month (MoM) retention.
• Marketing & Campaign Execution
• ROI Analysis: Measure the performance of every campaign to ensure marketing spend drives efficient growth.
• Competitive Intelligence: Track market trends and competitor offerings to keep Paytm's utility categories ahead.
• AI-Powered Campaign Ideation: Use Claude/AI copilots to draft campaign briefs, personalize messaging by cohort, and rapidly prototype copy and creative variants for A/B testing.
• AI-First Working Style
• Daily AI Fluency: Comfortable using Claude (or a similar AI assistant) as a co-pilot for SQL writing, Excel/report automation, data storytelling, and building stakeholder-ready summaries.
• Prompt Craft: Able to break a business problem into clear prompts for AI tools to accelerate first-draft analysis — while retaining the judgment to sense-check and refine anything AI-generated before it's shared or acted on.
• Automation Mindset: Proactively spot repetitive MIS/reporting work that can be offloaded to AI tools or scripts, freeing up time for higher-order strategic work.
• Responsible Use: Understands data-privacy and confidentiality boundaries when using AI tools with business data (e.g. no PII or sensitive data in external prompts without approval).

Who they want

Superpowers & Skills Required

• Experience: 4–6 years in a Data Analyst, Business Analyst, or Growth role (preferably in E-commerce, Retail, or Fintech).
• Technical Proficiency: Advanced Excel (VB