Data Science

2 weeks ago


Noida, India Paytm Full time

**About Us**:
Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. Paytm provides consumers with services like utility payments and money transfers, while empowering them to pay via Paytm Payment Instruments (PPI) like Paytm Wallet, Paytm UPI, Paytm Payments Bank Netbanking, Paytm FASTag and Paytm Postpaid - Buy Now, Pay Later. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners.

**About the Team: Analytics - Growth**

Growth Marketing performs 3 critical functions for the Paytm platform: Traffic allocation to various growth use cases like payments, commerce, financial services according to user current interest and also propensity to adopt new use cases Enhancing growth as a product platform with real time targeting, building a 360-degree customer profile and enhancing reach through most suitable channels Evangelization of growth amongst various businesses of Paytm and ensuring best practices trickle down to all businesses.

**Expectations/ Requirements**:
1. Provide analytical insights by analyzing various types of data, including mining our customer data, review of relevant cases/samples, and incorporation of feedback from teammates. 2. Work closely with business partners and stakeholders to determine how to design analysis, testing, and measurement approaches that will significantly improve our ability to understand and address emerging business issues.

3. Produce intelligent, scalable, and automated solutions by leveraging Data Science skills.

4. You’ll turn data into information, information into insight and insight into business decisions. Business decisions could include, but are not limited to, product feature prioritization, data strategy, use case business impact assessment, and/or Experiment test rollout decisions.

5. With your strong communication skills, you will story-tell and educate business leaders by leveraging data, insights, testing and measurement plans.

6. You’ll develop analysis, ad-hoc, and operating reporting and dashboard capabilities. Monitor performance and quality control plans to identify improvements to guest data quality.

7. You’ll Identify, analyze, and interpret trends or patterns in complex data sets to inform business stakeholders to make better decisions.

8. You’ll create and automate reporting and insights at scale that informs and influences business strategy decisions.

9. You’ll democratize data and insights as you strive to deliver self-service tools to your partners and enable them to make better decisions quicker.

11. You’ll actively participate in Data and Analytics functions, initiatives like Ideation and training

12. You’ll Interpret data, analyze results and provide ongoing reports, analysis, and/or dashboards that measure data health and quality

13. You’ll locate and define new data process improvement opportunities.

14. Responsible for understanding end-to-end guest data flows and identifying data dependencies in support of delivery, release, and change management.

15. Partners with the enterprise data governance team to ensure solutions adhere to the organization’s data principles and guidelines.

16. You’ll understand and anticipate problems and move to solve them quickly

**Superpowers/ Skills that will help you succeed in this role: -**

1.
** **Bachelor’s degree in technical/ analytics/ data science/ mathematics/ statistics/ economics/ operations research field or equivalent preferred

2. Minimum 7 years of experience working in BFSI/ Fintech/ Digital/ Retail analytics and Business Insights/reporting

3. Expertise in some of the analytics tools/languages such as: SQL/ Python/ PySpark/ Excel/ R/ Hadoop/ Hive etc., or equivalent technologies with a strong desire and ability to learn new technologies and concepts

4. Understanding and/or experience of technical and analytical approaches, predictive modeling, multivariate testing, and statistical principles

5. Ability to handle, advocate and represent a variety of complex priorities, weighing the value to Target and the teams you support

6. Excellent Data Handling Skills including Efficient Raw Data Querying, Data Cleaning, Data-Pre-Processing, Data-Massaging, Data Wrangling and Data Transformation.

7. Good working knowledge of concepts of Variable and Dimensionality reduction, Variable creation/ transformation, Feature Engineering etc.

8. Expertise in analyzing huge data (structured and unstructured) using statistical a


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