Growth Management & Analytics- Recharges & Utilities I Exp- 4-6 Years
This role focuses on driving growth in Paytm’s recharges and utilities categories by leveraging SQL/Hive for deep data analysis and designing high-impact campaigns to scale user acquisition and retention. You’ll bridge analytical execution with business strategy to optimize millions of transactions across 20+ service categories.
Skills required
About this role
About Paytm
Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability.
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 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 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.
3. 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.
4. AI-First Working Style
This role expects you to treat AI tools as a core part of how you work, not an optional add-on:
- 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).
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 (VBA/Macros a plus) and strong SQL skills; experience with Hive, BigQuery (BQ), or Python for data manipulation.
- AI Tool Proficiency: Hands-on experience using Claude, ChatGPT, GitHub Copilot, or similar AI tools for coding, data analysis, or content generation is a strong plus — and a genuine interest in using AI to work faster is expected.
- Analytical Mindset: Background in Engineering, Math, Statistics, or Economics; able to see the story behind the numbers.
- Execution Grit: Follows through on projects, coordinating with cross-functional teams (Product, Tech, Marketing) to get things to the finish line.
- Communication: Clear, effective communication for sharing updates with stakeholders and senior management.
Why join us?
● A collaborative output driven program that brings cohesiveness across businesses through technology
● Improve the average revenue per use by increasing the cross-sell opportunities
● A solid 360 feedback from your peer teams on your support of their goals
● Respect, that is earned, not demanded from your peers and manager
Compensation:
If you are the right fit, we believe in creating wealth for you With enviable 500 mn+ registered users, 17 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants - and we are committed to it. India's largest digital lending story is brewing here. It's your opportunity to be a part of the story!
