Senior Data Analyst
1 week ago
About Us:
Paytm is India's leading financial services company that offers full-stack payments & financial solutions to consumers, offline merchants and online platforms. Our mission is to bring half a billion Indians into the mainstream economy through payments, commerce, banking, investments, and financial services.
About the Team:
We are the Lending Data Analysis team responsible for creating and managing analytical datasets tailored to business needs for Lending business which includes products like Credit cards, Loans etc.
About the Role:
We are seeking motivated individuals to join our Lending Data Analytics team, contributing to our analytics initiatives. This role will support the day-to-day creation of analytical datasets for consumers, collaborate with business teams to understand their data and analytical requirements, and work closely with engineering teams to ensure business needs are met through effective feature development.
Key Responsibilities:
- Support the day-to-day creation of analytical datasets for consumers
- Collaborate with business teams to understand their data and analytical requirements
- Work closely with engineering teams to ensure business needs are met through effective feature development
- Contribute to the development and optimization of big data architecture and data pipelines for real-time and batch processing
- Facilitate data analytics processes to support reporting, metric generation, and machine learning feature creation
Requirements:
- Strong skills in SQL and Python for data analysis and manipulation
- Experience with big data visualization tools such as Looker (preferred), Tableau, or PowerBI
- Experience working in agile teams using Scrum and Kanban methodologies
- Excellent communication skills with the ability to convey complex ideas clearly
- Strong time management skills and ability to work effectively under pressure and adapt to changes
Preferred Qualifications:
- 1 - 3 years of experience working as a data / product analyst
- A bachelor's degree in Computer Science or a comparable discipline is required, with prior experience in data analysis or a related field being advantageous
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, solid 360 feedback from your peer teams on your support of their goals, respect that is earned, not demanded from your peers and manager
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