Senior Analytics

Oona Insurance Philippines; Muntinlupa; On-site; PHP 1,000,000 - 1,800,000; Full time

Job summary

Oona Insurance Philippines is seeking a Senior Analytics Engineer to bridge business operations and data infrastructure in the Philippine market.

You will design robust data models, build ETL pipelines, and translate insurance metrics into analytics-ready structures, supporting informed decision-making across actuarial, underwriting, claims, and finance teams.

Qualifications

• BS in Computer Science, Data Analytics, Actuarial Science, Finance or related quantitative field.
• Minimum 6–8 years of Insurance data experience or related field.
• Strong understanding of core insurance financials, policy lifecycles, and claims states.

Responsibilities

• Design and optimize data models (Star and Snowflake) within SSMS for insurance policy and claims lifecycles.
• Build, scale, and maintain ETL pipelines using SSIS with optimized structures for analytics.
• Translate insurance metrics into the data layer (GWP,Net Earned Premium, Loss Ratios).
• Address retroactive claims adjustments and historical reporting using advanced T-SQL.

Skills

Data modeling

Analytical mindset

Stakeholder collaboration

Education

BS in Computer Science / Data Analytics / Actuarial Science / Finance

Tools

SSMS

SSIS

T-SQL

T-SQLT

Job description

We are seeking a business-minded Senior Analytics Engineer with deep expertise in the Non-Life and Health Insurance domains who will act as the vital bridge between our core business operations and our data infrastructure. Managing insurance data lifecycles will be your primary focus, ranging from policy underwriting, claims reserve changes, and earned vs. unearned premiums.

Functions (Duties and Responsibilities):

• - Design and optimize robust, business-centric data models (Star and Snowflake schemas) within SSMS that accurately map the complex data lifecycles of insurance policies and claims.
• - Build, scale, and maintain stable ETL pipelines using SSIS and complex T-SQL stored procedures, ensuring clean and optimized structures for business analytics.
• - Translate nuanced insurance metrics directly into the data layer, including Gross Written Premium (GWP), Net Earned Premium, Loss Ratios, Claims Reserves etc.
• - Solve complex insurance data problems, such as retroactively adjusted claims, policy endorsements, and historical point-in-time ('as-of') financial reporting using advanced T-SQL.

• Stakeholder Collaboration

• - Partner closely with Actuaries, Underwriters, Claims Managers, and Finance teams to turn messy production source data into reliable, intuitive analytical data products.

Job Skills And Qualifications:

• · Education: BS in Computer Science, Data Analytics, Actuarial Science, Finance or related quantitative field
• · Domain Expertise: Minimum 6 to 8 years of Insurance data experience or related field
• · Business Acumen: Strong understanding of core insurance financials, policy lifecycles, and claims states.
• · Technical Expertise: Advance proficiency in SSMS, SSIS, TSQL, TSQLT. Cloud is a plus.
• · Analytical Mindset: Proven ability to prioritize business context and data quality over pure engineering output.

***Candidates who can start immediately are preferred.