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Day 49
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Growth Management & Analytics- Recharges & Utilities I Exp- 4-6 Years
Noida, Uttar Pradesh
Live, first seen by us 49 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: onsite
From the employer’s posting- Employment
Full-time — employment source
Employment type Full-time Employment
Employment type in the employer’s posting: Full-time Employment
From the employer’s posting
What you’ll work on
Full postingWe're looking for a high-ownership individual who is as comfortable writing SQL queries in Hive as designing a marketing campaign.
Data Extraction: Perform daily data extraction and prepare user-readable transaction reports.
Extract daily transaction data and build user-readable reports
Write and optimize SQL queries to track business health and run deep dives
Identify user cohorts and run custom growth and reactivation campaigns
Monitor the user funnel, find drop-offs and implement improvements
Measure ROI of every marketing campaign
From the employer’s posting
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.
Data Extraction: Perform daily data extraction and prepare user-readable transaction reports.
Perform daily data extraction and prepare user-readable transaction reports.
Write and optimize SQL queries day-to-day to track business health and run ad-hoc deep dives.
Identify specific user cohorts (e.g. “lapsed rent payers”) and run custom growth campaigns to drive activation and reactivation.
Monitor the user journey from landing to transaction; identify drop-offs and implement funnel improvements.
Measure the performance of every campaign to ensure marketing spend drives efficient growth.
About Paytm
Paytm is India's leading mobile payments and financial services distribution company.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 16, 202649 days ago
- Recorded sightings
- 118
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Paytm is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- BigQuery
- Excel
- Hive
Where the posting names them
- 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 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
- 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”)
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.
- 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.
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About the role
We file this job under Data Operations, by the work the posting describes.
Data operations staff do the day-to-day work of getting data processed correctly: loading and checking files, moving records between systems, fixing errors and following set procedures.
Expect Excel, some SQL, close attention to detail, and knowledge of the particular systems the company runs.
Data governance sets the rules for the data; data operations does the hands-on work of processing it and keeping it moving.
Job description
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 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!
Employment type
Full-time Employment
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Noida, Uttar Pradesh
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