Data/Business Analyst - Guidewire ClaimCentre Data Integration Expert

Company:  Sutherland
Location: San Antonio
Closing Date: 21/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Job Description

Sutherland is looking for a talented, data-driven Business Analyst -  Guidewire ClaimCentre Data Integration with experience in mapping Guidewire claims center data model to insurers data stores on cloud for reporting, analytics and downstream integration to join one of our growing Insurance programs! If you're a Guidewire expert with Insurance domain expertise, we want to hear from you!!

As a Data/Business Analyst you will get to: 

Perform data analysis, collaborate with data engineers, data modelers, data architects, and technical subject matter experts to enhance data collection and storage procedures, and prepare data quality analysis and reports. Additionally, you will responsible for developing the processes and procedures necessary to ensure the quality of the data.

Evaluate changes to source systems and the impacts from the data and reporting landscape.

Work closely with business analysts and technical subject matter experts to understand the source systems and assist in the analysis of data integration and data transformation.

Support teams with data requirements, source-to-target mappings, and other data-oriented deliverables.

Consult with data/business owners and teammates to identify all facets of a data issue to help generate a solution as well as understand the potential impacts to processes and systems across the organization. Work directly with business executives to identify areas for improvement.

Participate in discovery meetings, provide estimates, analyze and validate project requirements and technical specifications, perform impact analysis, and document key issues.

Troubleshoot job failures with developers, where necessary.

Support development and monitoring of data quality and data governance processes.

Identify operational gaps in our delivery based on potential business usage (i.e. dashboard gaps that could lead to rework, or usage gaps).

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