Guidewire Data Specialist
OVERVIEW:
We are seeking a Data Specialist with experience in Guidewire application and Data. The ideal candidate should be able to interpret Guidewire data, analyze results, design, and document base queries from Guidewire tables. These solutions will support business intelligence data marts for operational, financial, actuarial, regulatory, analytics other P&C insurance business interests.
RESPONSIBILITIES
The successful candidate will:
Interpret Guidewire tables, analyze results using statistical techniques.
Develop and implement base queries and data collection systems with efficiency and quality.
Acquire data from multiple data sources and maintain databases/data systems.
Identify, analyze, and interpret trends or patterns in complex data sets.
Work with management to prioritize business and information needs.
Locate and define new process improvement opportunities.
Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC.
Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.
SKILLS
Guidewire Certified Specialist
Proven working experience as a Data Analyst with experience in Guidewire database.
Technical expertise regarding data models, database design development, data mining and segmentation techniques
Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc.), programming (XML, Javascript, or ETL frameworks)
Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.)
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Adept at queries, report writing and presenting findings
5&plus years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, Snowflake, and DBT or other ETL and data ingestion protocols)
Good knowledge of metadata management, data modeling, and related tools
Experience in communication and presentation