Insurance Data Analyst

What role you will play in team: Analyze large datasets to identify trends and insights relevant to insurance risk and pricing.

What you will do: You will leverage data analysis techniques to support underwriting and actuarial functions.

Key responsibility:

• Analyze large datasets related to insurance claims, policies, and customer behavior.
• Develop and maintain reports and dashboards to track key performance indicators.
• Identify trends and patterns in data to inform underwriting decisions.
• Develop predictive models to forecast risk and optimize pricing strategies.
• Collaborate with underwriters and actuaries to improve risk management.
• Maintain data quality and integrity.

Required Qualification and Skills:

• Bachelor's degree in statistics, mathematics, or a related field.
• Proficiency in data analysis tools (e.g., SQL, Python, R).
• Strong analytical and problem-solving skills.
• Experience with statistical modeling and machine learning (preferred).
• Knowledge of insurance industry data and concepts (preferred).
• Excellent communication skills.

Benefits Included:

• Competitive salary and benefits package.
• Opportunities for career growth in a data-driven environment.
• Challenging and intellectually stimulating work.
• Health Insurance.
• Paid Leaves.

A Day in the Life: A day involves analyzing data, developing reports, creating predictive models, and collaborating with other teams to improve risk management and pricing strategies. Strong analytical skills are essential.