About Paytm Group:
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.
Job Title: Manager/Senior Manager – Growth & Business Analytics
Business Unit: Recharges & Utilities (RU)
About the Team:
Recharges and Utilities is a core business pillar for Paytm, encompassing 20+ essential categories including Mobile Recharge, Electricity, DTH, and Loans As a Manager in this team, you will be the 'Growth Engine'—using deep data insights to identify opportunities and executing high-impact campaigns to acquire and retain millions of users.
The Role: Analytical Execution & Category Growth
We are looking for a high-ownership individual who is equally comfortable writing SQL queries in Hive as they are designing a marketing campaign. You will own the data lifecycle of your assigned categories and use that data to drive P&L growth and user retention.
Core Roles & Responsibilities
1. Data Operations & Analytics (The 'How')
Data Extraction: Perform daily data extraction from HIVE/BigQuery and prepare user-readable transaction reports.
Query Management: Write and optimize SQL queries on a day-to-day basis to track business health and perform ad-hoc deep dives.
Automation: Use Advanced Excel and internal tools to automate recurring reports, streamlining MIS processes for the leadership team.
Data Modeling: Translate business hurdles (e.g., 'Why is electricity bill churn increasing?') into data models to find actionable solutions.
2. Growth & Category Management (The 'What')
P&L Support: Assist in delivering revenue targets by optimizing costs and identifying bottom-line enhancing strategies.
User Lifecycle: Identify specific user cohorts (e.g., 'lapsed rent payers') and execute custom growth campaigns to drive activation and reactivation.
Funnel Optimization: Monitor the user journey from landing to transaction; identify drop-off points and suggest/implement funnel improvements.
Retention & GMV: Track and take ownership of key parameters including Daily Active Users (DAU), GMV, and Month-on-Month (MoM) retention.
3. Marketing & Campaign Execution
ROI Analysis: Measure the performance of every campaign, ensuring that marketing spend is driving efficient growth.
Competitive Intelligence: Keep a pulse on market trends and competitor offerings to ensure Paytm’s utility categories remain market leaders.
Superpowers & Skills Required
•Experience: 2-4 years of experience in a Data Analyst, Business Analyst, or •Growth role (preferably within E-commerce, Retail, or Fintech).
Technical Proficiency:
•Advanced Excel (VBA/Macros is a plus) and strong SQL skills.
•Experience with Hive, BigQuery (BQ), or Python for data manipulation.
•Analytical Mindset: Background in Engineering, Math, Statistics, or Economics. •You should be able to see the 'story' behind the numbers.
•Execution Grit: Ability to follow through on projects, coordinating with cross-functional teams (Product, Tech, Marketing) to ensure tasks reach the finish line.
•Communication: Clear and effective communication skills to share 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!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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