Product Analytics - Deputy Manager - Recharges & Utilities
72% FlexFull Remote
Mid-level (2-5 years)
- Remote from:India
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Product Analytics - Deputy Manager - Recharges & Utilities
72% Flex
Offer summary
Qualifications: 1-4 years Data Science experience, Expertise in Python, R and ML.
Key responsabilities:
- Growth strategies for user acquisition
- Analyze user behavior and build statistical models
Job description
Your missionsTitle: Product Analytics - Deputy Manager - Recharges & Utilities
About Us:
Paytm is India's leading financial services company that offers full-stack payments & financial solutions to consumers, offline merchants and online platforms. The company is on a mission to bring half a billion Indians into the mainstream economy through payments, commerce, banking, investments, and financial services. One97 Communications Limited that owns the brand Paytm is founded by Vijay Shekhar Sharma and is headquartered in Noida, Uttar Pradesh. Its investors include Softbank, Ant Financial, AGH Holdings, SAIF Partners, Berkshire Hathaway, T Rowe Price and Discovery Capital.
About the team:
Recharges and Utilities is a core business for Paytm. It includes 20+ categories including mobile recharge, electricity bill payments, DTH recharge, cylinder booking, etc. It is a critical business to onboard, engage and retain users on Paytm.
About the role:
We seek a highly motivated and experienced Data Science Consultant to join our team. In this role, he or she will be responsible for evangelizing and demonstrating the value and impact of analytics for informed business decision-making. An ideal candidate will primarily focus on developing and deploying Data / Statistical models while providing data-driven insights to our business stakeholders. His or her expertise in Data Science & Machine Learning will enable him or her to decode user behavior.
Expectations/ Requirements:
Growth: Finding new ways to acquire users from inside and outside the Paytm ecosystem.
Analyze behavior of the loyal users on the app on variables such as: transaction type, payment mode, balance checking frequency, demographic information, etc.
Build statistical models to scan through Paytm's active users and identify users with similar traits to the loyal users
Derive the number of users identified, segment them on the basis of what percent of their characteristics match with the loyal users.
Be a brand ambassador for Paytm – Stay Hungry, Stay Humble, Stay Relevant!
Superpowers/ Skills that will help you succeed in this role:
1-4 years of experience working on Data Science projects
Experience doing statistical modeling of big data sets
Expert in Python, R language with deep knowledge of ML packages
Expert in fetching data from SQL
Knowledge of AWS would be beneficial
Demonstrate Structural and Analytical thinking
Ability to structure and execute data science project end to end
Experience with common data science toolkits, such as Python, NumPy, Pandas etc
Automating analysis and authoring pipelines via SQL, NoSQL and python based ETL frameworks
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, 21 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!
Required profile
Experience
Level of experience :
Mid-level (2-5 years)Industry :
Spoken language(s)
Check out the description to know which languages are mandatory.
Hard Skills
Soft Skills
- Analytical thinking
- Proactive problem-solving
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