11 дней назад
Data Analyst (Insurance)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst (Insurance) (Excel/SQL): Monitoring and interpreting exposure, claims, and Workers Compensation data for regulatory reporting and business support with an accent on data quality, statistical analysis, and report generation. Focus on resolving data anomalies and external inquiries, documenting data calls, and producing accurate reports from relational systems.
Location: Manila, Philippines
Company
promotes collaboration, expertise, and innovation while providing insurance-related services and supporting business units with data and reporting.
What you will do
- Monitor exposure, claims, and Workers Compensation data sets with business units and support teams to improve data quality.
- Create documentation and reports for aggregate financial and state-specific Workers Compensation data call filings.
- Support Allianz legacy functions and act as a key contact for related obligations.
- Resolve Unit Statistical Report bureau criticisms, Medical Data Call inquiries, Indemnity Data Call inquiries, and systemic data anomalies.
- Compile data from multiple systems, generate reports for review and submission, and support surcharge and assessment payment obligations.
- Perform data collection and analysis for recurring and ad hoc staff requests.
Requirements
- Advanced Microsoft Excel skills, including macro generation.
- Experience with relational databases and SQL.
- Understanding of regulatory requirements for statistical data call filings.
- Two to five years of experience in the insurance or finance field.
- Bachelor's degree in information systems or data science preferred.
- Strong written and oral communication, organizational, problem-solving, prioritization, and data accuracy skills.
Nice to have
- Foundational knowledge of the Workers Compensation line of business.
- Knowledge of Snowflake.
Culture & Benefits
- Collaborative environment focused on expertise and innovation.
- Opportunity to solve complex business problems and support talented colleagues.
- Full-time employment.
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