Description

You will analyze property and casualty insurance data to drive strategic business decisions and risk assessment strategies.

Responsibilities

• Extract and compile datasets from relevant insurance industry sources for deep-dive analysis.
• Apply data mining techniques to identify patterns, trends, and correlations within large datasets.
• Build dashboards and visual representations using mapping and visualization tools to facilitate decision-making.
• Collaborate with data engineers to automate processes and improve data pipeline quality.
• Monitor data accuracy and integrity to identify and resolve anomalies or discrepancies.

Required Skills

• 5+ years of experience as a Data Analyst.
• Deep domain knowledge of the property and casualty insurance industry, including underwriting and market dynamics.
• Strong SQL skills for data extraction and manipulation.
• Proficiency in Python for data analysis.
• Experience with visualization tools including Tableau and Power BI.
• Hands-on experience with Informatica.
• Expertise in data mining, mapping, and analytical techniques.
• Full SDLC project life cycle experience.

Preferred Skills

• Ability to present technical findings and practical recommendations to non-technical stakeholders.

Key Skills

Education

Any Graduate