Consultant, Data Analyst at Nationwide in Des Moines, IA
- Company: Nationwide
- Location: Iowa - Des Moines, 1100 Locust Street
- Salary: $118K – $222K
- Job type: full time
- Workplace: onsite
- Posted: 2026-10-28
Job description
If you’re passionate about being part of a dynamic organization that enables a Fortune 100 company with nearly $70 billion in annual sales to drive innovation and adopt new technologies that deliver business results, then Nationwide’s Technology team could be the place for you! At Nationwide®, “on your side” goes beyond just words. Our customers are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care. Data Designer needed to gather and analyze business/data requirements for GW ClaimCenter and PolicyCenter. Implement Guidewire ClaimCenter and PolicyCenter for Commercial LOBs. Perform source to target data mapping for various PolicyCenter third party integrations and to the downstream applications which includes data cleaning and transformation rules. Engage in extensive data validation by writing several complex SQL queries and work with data quality issues. Assist database modelers in preparing the logical and physical data model and perform data mapping and logical data modeling. Create class diagrams and Entity Relationship diagrams and use SQL queries to filter data within the oracle database. Translate business and data requirements into data models in support of Enterprise Data Models, Data Warehouse and Analytical systems. Develop best practices, standards, and methodologies to assist in the implementation and execution of Data Governance. Bachelor’s degree in Computer Science or Computer Information Systems and 5 years of experience performing the duties listed above. Job Description Summary Nationwide’s industry-leading workforce is enthusiastic about creating data solutions that are secure, reliable and efficient in support of our mission to provide extraordinary care. Nationwide embraces an agile work environment and collaborative culture through the understanding of business processes, relationship entities and requirements using data analysis, quality, visualization, governance, engineering, AI engineering, and machine learning to produce targeted data solutions. If you have the drive and desire to be part of a future-forward data-enabled culture, we want to hear from you! As a Data Analyst, you’ll process, organize, structure or present data to make it meaningful for business decision making and to position data-intensive projects/programs for success. You’ll be an integral part of a project, program or team and perform a variety of tasks related to identifying business partners’ analytical needs and obtaining, collecting, organizing and interpreting data. You’ll perform analysis and interpret results, providing insights, and recommendations. This may take the form of thematic maps, reports, charts, tables, and other analytic visualizations. Job Description Key Responsibilities: Evaluates information from multiple sources, provides recommendations, reconciles conflicts, cleans data into a consumable format and classifies the information into logical categories. Uses moderate to complex visualization techniques and skills to present findings of data exploration exercises. Maps the flow of data and the business processes and/or technical interfaces which would be created or impacted and recommends solutions/adaptations. Responsible for applying secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology solutions are protected from threats and vulnerabilities. Documents the source to target mappings for data integration and web services. Ensures alignment with data quality and transformation rules and develops infrastructure and/or other tools to communicate mapping to relevant groups. Identifies and documents the sources of existing and new data. Works with enterprise partners to conduct complex data profiling using standardized tools. Serves as a key contributor in the creation or review of conceptual, logical and physical data models and determines the most appropriate method to represe
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