Data Analyst - Life Insurance

What role you will play in team: You will play a crucial role in extracting meaningful insights from vast datasets to optimize operational efficiencies, enhance policy development, and improve risk assessment within the life insurance domain.

What you will do: You will collect, clean, analyze, and interpret large volumes of data related to life insurance policies, customer behavior, market trends, and risk factors, and communicate findings effectively.

Key responsibility:

• Collect and cleanse data from various sources (databases, spreadsheets, etc.).
• Develop and maintain data models and visualizations.
• Analyze data to identify trends, patterns, and insights relevant to life insurance operations.
• Develop and present reports on key performance indicators (KPIs).
• Support actuarial modeling and pricing processes with data analysis.
• Support the development of predictive models for risk assessment and customer behavior.
• Collaborate with other departments to use data insights to enhance business processes.
• Stay current with data analysis techniques and technologies.

Required Qualification and Skills:

• Bachelor's degree in statistics, mathematics, computer science, or a related field.
• Experience with data analysis tools (SQL, Python, R, Tableau, etc.).
• Strong analytical and problem-solving skills.
• Excellent communication and visualization skills.
• Ability to work independently and collaboratively.
• Knowledge of life insurance industry (preferred).
• Experience with large datasets (preferred).

Benefits Included:

• Competitive salary and comprehensive benefits package.
• Professional development opportunities.
• Positive and collaborative work environment.
• Opportunities to work on large-scale projects with significant impact.
• Health insurance and other standard benefits.

A Day in the Life: A day will involve data collection and cleaning, building models, performing statistical analysis, creating visualizations, and presenting findings to various stakeholders.