离岸数据建模师

Offshore Data Modeler

开发工程设计限定地区（需当地身份）

公司EXL

薪资未公开

工作地点India

地域资格限定地区（需当地身份）

时区要求日间重叠约 6 小时，基本正常作息

用工类型Full Time

发布时间今天

数据来源Himalayas

前往 Himalayas 查看并投递 →

注意地域限制：该职位明确限定在 India 招聘。如果你是位于中国大陆的求职者，通常需要当地工作身份才能投递，或需与雇主确认是否接受独立合同（Contractor）形式合作。

关键职责
数据建模与设计

为保险应用和系统（理赔、保单、承保、计费、再保险等）设计、开发和维护概念模型、逻辑模型和物理模型。

构建与保险行业标准（如 ACORD）一致的企业级数据模型。

定义数据字典、元数据和关系，以支持数据治理和一致性。

确保数据模型在事务型（OLTP）和分析型（OLAP）系统中均得到优化。

保险领域专业知识

将理赔、保单管理、承保、精算和财务团队的业务需求转化为可扩展的数据解决方案。

支持监管和合规报告要求（如 IRDAI、IFRS、Solvency II）。

确保模型涵盖核心保险流程，如理赔受理、审核、赔付、续保、批改和注销。

协作与利益相关者参与

与业务分析师、数据架构师和开发者合作，交付保险领域的数据解决方案。

与数据仓库、ETL 和 BI 团队协作，确保保险数据的无缝集成。

与精算师、理赔专家和保单团队合作，验证数据定义和使用。

治理与标准

在保险系统中执行数据治理和质量标准。

记录核心保险实体的业务规则、数据血缘和数据定义。

对保险流程和数据流的变化进行影响分析。

资格要求
经验

4 年以上数据建模师或数据架构师经验，保险行业经验优先。

熟练使用 Erwin Data Modeler（或其他数据建模工具）。

在建模保险数据实体方面有实际经验，如保单、客户、保费、理赔、付款、承保、再保险以及代理/经纪人。

有在数据仓库、数据湖和云平台（AWS、Azure 或 GCP）工作的经验。

技能

熟悉保险领域的数据流程和监管需求。

精通概念建模、逻辑建模和物理建模。

熟练使用 SQL 进行数据分析和验证。

熟悉保险标准（如 ACORD、ISO）者优先。

了解数据治理、元数据管理和数据血缘追踪。

教育
· 计算机科学、信息系统、数据管理或相关领域的学士或硕士学位。

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Key Responsibilities
Data Modeling & Design

Design, develop, and maintain conceptual, logical, and physical data models for insurance applications and systems (claims, policy, underwriting, billing, reinsurance, etc.).

Build and maintain enterprise data models aligned with insurance industry standards (e.g., ACORD).

Define data dictionaries, metadata, and relationships to support data governance and consistency.

Ensure data models are optimized for both transactional (OLTP) and analytical (OLAP) systems.

Insurance Domain Expertise

Translate business requirements from claims, policy administration, underwriting, actuarial, and finance teams into scalable data solutions.

Support regulatory and compliance reporting requirements (e.g., IRDAI, IFRS, Solvency II).

Ensure models capture core insurance processes such as claims intake, adjudication, settlement, renewals, endorsements, and cancellations.

Collaboration & Stakeholder Engagement

Partner with business analysts, data architects, and developers to deliver insurance-specific data solutions.

Work with data warehouse, ETL, and BI teams to ensure seamless integration of insurance data.

Collaborate with actuaries, claims specialists, and policy teams to validate data definitions and usage.

Governance & Standards

Enforce data governance and quality standards across insurance systems.

Document business rules, lineage, and data definitions for core insurance entities.

Conduct impact analysis for changes in insurance processes and data flows.

Qualifications
Experience

4+ years of experience as a Data Modeler or Data Architect, preferably in the insurance industry.

Strong hands-on experience with Erwin Data Modeler (or equivalent data modeling tools).

Proven expertise in modeling insurance data entities such as Policy, Customer, Premiums, Claims, Payments, Underwriting, Reinsurance, and Agents/Brokers.

Experience working with data warehouses, data lakes, and cloud platforms (AWS, Azure, or GCP).

Skills

Strong knowledge of insurance domain data flows and regulatory needs.

Expertise in conceptual, logical, and physical modeling.

Proficiency in SQL for data analysis and validation.

Familiarity with insurance standards (e.g., ACORD, ISO) is a plus.

Understanding of data governance, metadata management, and lineage tracking.

Education
· Bachelor’s or master’s degree in computer science, Information Systems, Data Management, or a related field.
Preferred Certifications (not mandatory)