- Work with business stakeholders and IT teams to analyze and resolve data issues for the enterprise data warehouse.
- Create source-to-target mapping documents to capture additional application data elements.
- Load the source-to-target mapping documents from source systems into the enterprise data warehouse.
- Collaborate with the ETL team to ensure the source-to-target mapping documents are in correct ETL code.
- Ensure the ETL code align with STM requirements.
- Perform data validation, to insure correct data movement into the enterprise data warehouse architecture.
- Consult with reporting teams to develop a general understanding for any identified variances - between the enterprise data warehouse and source system applications.
- Proven 3+ years' experience of data analysis within an enterprise data warehouse.
- Possess 2 years of Policy & Claims Insurance subject-matter expertise.
- Candidate has advanced level SQL knowledge.
- Possess optimal knowledge for concepts and frameworks for Data Warehousing, ETL, and BI Architectures.
- Candidate is capable of creating and tuning Semantic layer Reporting Views.
- Able to facilitate data discovery sessions, which will include an audience of business subject-matter experts.
- Proven knowledge of RDBMS platforms (e.g., SQL Server, DB2), with experience in generating DDL.
- Possess knowledge of Guidewire Policy Center, Guidewire Claims Center, SAP FS-RI & SAP FS-CD applications with their data is considered a plus.
- Candidate has strong interpersonal skills, including both written and verbal communication skills.
- Possess the ability to work as part of a team.
- Candidate has strong organizational skills and analysis skills.
- B.S. Degree in Computer Information Science, Information Management, or Statistics.
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