Able to Utilize SAS and Pyspark to analyze large datasets, identify trends, and provide actionable insights to stakeholders.
Able to understand existing SAS codes and able to convert them into equivalent Pyspark scripts for optimization, report creation.
Create and automate reports and dashboards using SAS tools and PySpark data processing frameworks to communicate findings to non-technical audiences.
Work closely with cross-functional teams, including data engineers, business analysts, and management, to understand business needs and deliver analytics solutions.
Excellent communication skills with the ability to convey complex information to diverse audiences.
Good to have Insurance working experience, knows insurance concepts well.
Propose and implement new methodologies and technologies to enhance data analysis
