Insurance Data Analyst

What role you will play in team: You'll analyze large datasets of insurance information to identify trends, improve efficiency, and support informed decision-making.

What you will do: Extract, clean, and analyze insurance data using statistical tools and techniques to derive meaningful insights.

Key responsibility:

• Extract, transform and load (ETL) insurance data from various sources.
• Clean and prepare data for analysis.
• Perform statistical analysis to identify trends and patterns.
• Develop and maintain data dashboards and reports.
• Support business decision-making with data-driven insights.
• Collaborate with other departments to improve data quality.
• Identify areas for process improvement based on data analysis.
• Ensure data privacy and security.

Required Qualification and Skills:

• Bachelor's degree in statistics, mathematics, or a related field.
• Strong analytical and problem-solving skills.
• Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI).
• Experience with statistical software packages (e.g., R, Python).
• Understanding of insurance industry data (preferred).
• Experience with data mining and predictive modeling techniques (preferred).

Benefits Included:

• Competitive salary and benefits package.
• Opportunities for professional development and training.
• Collaborative and supportive work environment.
• Health insurance and other employee benefits.

A Day in the Life: A typical day involves data extraction, cleaning, analysis, and reporting. You will work with large datasets to support business decisions and drive efficiency improvements.