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 SAS, Advance SQL knowledge preferred.Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.Skills Required
Sas, Sql, Hive, Spark, Python, Tableau, Risk Analytics