Guidewire Data Analyst with P&C Insurance experience - Hybrid jobs in United States
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The Dignify Solutions, LLC · 1 month ago

Guidewire Data Analyst with P&C Insurance experience - Hybrid

The Dignify Solutions, LLC is seeking a Guidewire Data Analyst with P&C Insurance experience. The role involves working closely with the development team to extract and load data into an enterprise data warehouse, with a focus on the insurance and reinsurance domain.

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Responsibilities

10+ years of data architecture and design experience working with development team to extract data directly from source applications and loading to an enterprise data warehouse
3+ years of experience within the Insurance and reinsurance domain
Advanced experience with extracting data from Insurance applications
Extensive knowledge of Data Warehousing, ETL and BI Architectures, concepts, and frameworks
Capable of creating and tuning Semantic layer Reporting Views
Capable of facilitating data discovery sessions involving business subject matter experts
Knowledge of RDBMS platforms (SQL Server, DB2, etc.) with experience in generating DDL

Qualification

Data architectureData WarehousingETLInsurance domain experienceRDBMS platformsBusiness facilitationSemantic layer Reporting Views

Required

10+ years of data architecture and design experience working with development team to extract data directly from source applications and loading to an enterprise data warehouse
3+ years of experience within the Insurance and reinsurance domain
Advanced experience with extracting data from Insurance applications
Extensive knowledge of Data Warehousing, ETL and BI Architectures, concepts, and frameworks
Capable of creating and tuning Semantic layer Reporting Views
Capable of facilitating data discovery sessions involving business subject matter experts
Knowledge of RDBMS platforms (SQL Server, DB2, etc.) with experience in generating DDL

Company

The Dignify Solutions, LLC

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The Dignify Solutions with Global Capabilities and Local Excellence – has combined experience of 30 +years in Client Services/ Engagement/ Relationship/ Partnership, Sales/ Account Management, Service Delivery, Recruiting, Staffing and Talent Acquisition for the whole gamut of skillsets in Information Technology (Digital Transformation, Artificial Intelligence, Machine Learning and other business domains).

Funding

Current Stage
Growth Stage
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