Roles and Responsibilities
- Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and ETL processes.
- Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior.
- Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions.
Desired Candidate Profile
- 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Credit risk .
- Strong proficiency in tools like SQL, Advance SQL knowledge preferred.
- Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.
