承保助理 - 初级中级（法语）
2025-7802 Underwriting Assistant- Junior-Mid (FRENCH)
夜班工作
数据分析师负责收集、整理、解释、分析、清洗、文档化和分发复杂的数据集。候选人将提供分析，处理并标准化数据以确保数据完整性，并创建查询、视图和报告。候选人将审查、输入再保险提交数据，建立财产定价模型，创建与到期合同条款的比较，并在业务签订后在目录中记录文件。与承保人的沟通至关重要。
- 解释数据，分析结果并提供持续报告
- 开发和实施数据收集系统和其他策略，以优化统计效率和数据质量
- 从主要或次要数据源获取数据并维护数据库/数据系统
- 识别、分析并解释复杂数据集中的趋势或模式
- 过滤和清洗数据，并审查报告和绩效指标以定位并纠正代码问题
- 发现并定义新的流程改进机会
- 至少四年保险行业经验（有财产保险相关知识者优先）
- 熟练掌握法语
- 精通数据模型、数据库设计开发、数据挖掘和细分技术
- 优秀的沟通和人际交往能力
- 强大的分析能力，能够收集、组织、分析和分发大量信息，注重细节和准确性
- 熟悉统计学并有使用统计软件包分析大数据集的经验（如Excel、SPSS、SAS等）
- 熟悉报告工具（如Business Objects）和数据库（如SQL）
- 精通查询、报告撰写和成果展示
- 商业、计算机科学、数学、经济学、信息管理或统计学学士学位
- AGSI于2016年4月成立。我们致力于通过卓越的服务交付来支持Arch部门的目标。我们以保持灵活性和响应能力而自豪，以适应业务单元和行业需求，同时专注于良好的项目管理。我们致力于员工的成长和发展，打造具有战略领导力的强大团队。
- 最初发布于Himalayas
查看英文原文
Work Schedule: Nightshift
The data analyst is responsible for collection, organization, interpretation, analysis, scrubbing, documentation and dissemination of complex data sets. The candidate will provide analysis, will process and normalize the data to ensure data integrity and will create queries, views and reports. The candidate will review, input reinsurance submission data, set up the Property pricing models, create a comparison to the expiring contract wording, and document files in the directory after business is bound. Communication with the underwriters is essential.
- Interpret data, analyze results, and provide ongoing reports
- Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality
- Acquire data from primary or secondary data sources and maintain databases/data systems
- Identify, analyze, and interpret trends or patterns in a complex data sets
- Filter and scrub data, and review reports and performance indicators to locate and correct code problems
- Locate and define new process improvement opportunities
- At least four (2) years’ experience in Insurance industry (preferably with working knowledge in Property Insurance)
- Conversant in French
- Technical expertise regarding data models, database design development, data mining and segmentation techniques
- Excellent communication and interpersonal skills
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Knowledge of statistics and experience using statistical packages for analyzing large datasets (Excel, SPSS, SAS, etc.)
- Knowledge of and experience with reporting packages (Business Objects, etc.) ad databases (SQL, etc.)
- Adept at queries, report writing and presenting findings
- Bachelor’s Degree in business, Computer Science, Mathematics, Economics, Information Management or Statistics
- AGSI was incorporated in April 2016. We are committed to supporting the goals of Arch divisions through exceptional service delivery. We pride ourselves on maintaining flexibility and responsiveness to adapt to business unit and industry demands while focusing on sound project management. We are dedicated to growing and developing our employees as we build strong teams with strategic leadership.
- Originally posted on Himalayas