Senior Data Analyst Credit Card Business

4 days ago


Noida, Uttar Pradesh, India Paytm Full time
Job Title - Business Analyst
About Us: Paytm is the leading financial services company in India, offering full-stack payments and financial solutions to consumers and businesses. 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, including Credit cards and Loans. Our team collaborates closely with business teams to understand their data and analytical requirements.
About the Role: We are seeking motivated individuals to join our Lending Data Analytics team, contributing to our analytics initiatives. As a Business Analyst, you will be responsible for:
  1. Supporting the day-to-day creation of analytical datasets for consumers;
  2. Collaborating with business teams to understand their data and analytical requirements;
  3. Working closely with engineering teams to ensure business needs are met through effective feature development;
  4. Contributing to the development and optimization of big data architecture and data pipelines for real-time and batch processing;
  5. Facilitating data analytics processes to support reporting, metric generation, and machine learning feature creation;
Requirements:
  1. Strong skills in SQL and Python for data analysis and manipulation;
  2. Experience with big data visualization tools such as Looker (preferred), Tableau, or PowerBI;
  3. Experience working in agile teams using Scrum and Kanban methodologies;
  4. Excellent communication skills with the ability to convey complex ideas clearly;
  5. Strong time management skills and ability to work effectively under pressure and adapt to changes;
Preferred Qualifications:
  1. 1-3 years of experience working as a data/product analyst;
  2. 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;

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