

Guidewire Data Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Guidewire Data Analyst with a contract length of unspecified duration, offering competitive pay. Candidates must have 10+ years in data architecture, 3+ years in Property and Casualty insurance, and expertise in SQL, ETL, and reporting.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
September 23, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Dallas, TX
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π§ - Skills detailed
#BI (Business Intelligence) #Data Analysis #SQL (Structured Query Language) #SQL Server #RDBMS (Relational Database Management System) #Data Warehouse #Data Architecture #Data Integration #EDW (Enterprise Data Warehouse) #MS SQL (Microsoft SQL Server) #"ETL (Extract #Transform #Load)"
Role description
Guidewire Data Analyst
3 Days onsite per week
Locations - Alpharetta, GA; Charlotte, NC; Chicago, IL; Colorado Springs, CO; Conshohocken, PA; Dallas, TX; Denver, CO; Fargo, ND; Garden City, NY; Houston, TX; Jacksonville, IL; Lenexa, KS; Los Angeles, CA; Lubbock, TX; Morristown, NJ; Mt Juliet, TN; New York, NY; Purchase, NY; Topeka, KS.
Required skills: Data analyst with experience in Property and Casualty insurance, Guidewire, SQL, ETL and reporting.
The Enterprise Data Specialist is a pivotal role focused on designing, modeling, and mapping data solutions for the enterprise data warehouse. This position requires a strategic approach to data architecture, ensuring robust data models and seamless data integration. The Enterprise Data Specialist will collaborate with business stakeholders and IT teams to drive data initiatives that enhance operational performance and support the development of an industry-leading data warehouse.
Qualification:
β’ 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.
β’ 3+ years of experience within the Insurance and reinsurance domain.
β’ Advanced experience with extracting data from Insurance applications.
β’ Extensive knowledge of Data Warehousing, ETL and BI Architectures, concepts, and frameworks.
β’ Capable of creating and tuning Semantic layer Reporting Views.
β’ Capable of facilitating data discovery sessions involving business subject matter experts.
β’ Knowledge of RDBMS platforms (SQL Server, DB2, etc.) with experience in generating DDL.
Guidewire Data Analyst
3 Days onsite per week
Locations - Alpharetta, GA; Charlotte, NC; Chicago, IL; Colorado Springs, CO; Conshohocken, PA; Dallas, TX; Denver, CO; Fargo, ND; Garden City, NY; Houston, TX; Jacksonville, IL; Lenexa, KS; Los Angeles, CA; Lubbock, TX; Morristown, NJ; Mt Juliet, TN; New York, NY; Purchase, NY; Topeka, KS.
Required skills: Data analyst with experience in Property and Casualty insurance, Guidewire, SQL, ETL and reporting.
The Enterprise Data Specialist is a pivotal role focused on designing, modeling, and mapping data solutions for the enterprise data warehouse. This position requires a strategic approach to data architecture, ensuring robust data models and seamless data integration. The Enterprise Data Specialist will collaborate with business stakeholders and IT teams to drive data initiatives that enhance operational performance and support the development of an industry-leading data warehouse.
Qualification:
β’ 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.
β’ 3+ years of experience within the Insurance and reinsurance domain.
β’ Advanced experience with extracting data from Insurance applications.
β’ Extensive knowledge of Data Warehousing, ETL and BI Architectures, concepts, and frameworks.
β’ Capable of creating and tuning Semantic layer Reporting Views.
β’ Capable of facilitating data discovery sessions involving business subject matter experts.
β’ Knowledge of RDBMS platforms (SQL Server, DB2, etc.) with experience in generating DDL.