Insurance Data Analyst (Hybrid)

Neksjob Philippines; Pasig; Presencial; PHP 400.000 - 700.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity plan

Commission

Performance bonus

Professional development

Descripción de la vacante

Neksjob Philippines in Pasig is seeking an Insurance Risk Data Analyst with 1–2 years of US non-life insurance experience. You will analyze property, policy and geographic data, prepare data for CAT modeling, and support risk reporting.

The role emphasizes data quality, automation opportunities, and collaboration with clients and underwriters in a dynamic team environment.

Formación

• 1–2 years of experience in US non-life insurance (Property/Commercial/Homeowners).
• Strong analytical skills and data-driven mindset.
• Excellent knowledge of US geography: states, cities, ZIPs, addresses.

Responsabilidades

• Analyze US non-life insurance data: property, policy, coverage, and location.
• Clean and validate addresses, ZIPs, property details, and geographic data.
• Prepare data for CAT modeling; review results and report risks.

Conocimientos

US non-life insurance

US geography knowledge

Advanced MS Excel

Educación

Bachelor’s/Master’s in Math/Stats/Actuarial/Insurance/Geography/Data Analytics

Herramientas

MS Excel

Descripción del empleo

On-site - Pasig 1-3 Yrs Exp Bachelor Full-time

Job Description

Join our team as an Insurance Risk Data Analyst! You'll analyze US non-life insurance data, including property, policy, coverage, and location information. You'll also support CAT Modeling by preparing and validating insurance data, analyzing property exposure to natural disasters, and identifying potential risks and losses. We're looking for someone with insurance experience, strong analytical skills, excellent knowledge of US geography, and advanced MS Excel skills.

Employee Recognition and Rewards

• Equity Incentive Plan, Commission, Performance Bonus, Incentives

Professional Development

• Job Training, Professional Development

Main Responsibilities

• Analyze US non-life insurance data, including property, policy, coverage, and location information.
• Clean and validate addresses, ZIP codes, property details, and geographic data.
• Prepare insurance data for Catastrophe (CAT) Modeling.
• Analyze property exposure to hurricanes, tornadoes, earthquakes, floods, and severe storms.
• Identify risk concentrations and potential losses across US states and locations.
• Review CAT modeling results and prepare risk, exposure, and portfolio reports.
• Perform data quality checks and investigate data issues.
• Work with large datasets to identify trends, risks, and errors.
• Coordinate with clients, underwriters, and internal teams to resolve data and technical issues.
• Help improve processes through automation, documentation, and efficiency improvements.

Qualifications

• 1-2 years of experience in US Non-Life Insurance, such as Property, Commercial, Homeowners, or related areas.
• Experience in CAT Modeling, Exposure Management, Insurance Risk Analysis, Underwriting, or Insurance Data Analysis.
• Strong knowledge of US geography, including states, cities, ZIP codes, addresses, and property locations.
• Experience handling insurance policy, property, coverage, and location data.
• Bachelor's/Master's degree in Mathematics, Statistics, Actuarial Science, Insurance, Engineering, Geography, Data Analytics, or a related field.

Why Join Us

• Exposure to US Insurance and CAT Modeling
• Opportunity to Work with Large Insurance Datasets
• Process Improvement and Automation Experience
• Collaborative and Supportive Team Environment