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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** Robert Half - **Location:** New Holland, PA, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Microsoft Excel, Data Analysis, Batch Processing, Data Auditing, Data Validation, Information Engineering, Data Governance, Data Integrity, Extract Transform Load (ETL), Data Warehousing, Digital Assets, Fraud Prevention and Detection, Python (Programming Language), Power BI, DataOps, SQL Databases, Microsoft Fabric, Data Analytics, Tools for Reporting - **Published:** September 6, 2026 - **Apply:** https://www.financialjobbank.com/job.asp?id=3380089465&tx=KJ7979FFQ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role Experience within the Property & Casualty insurance industry is required Bachelor's degree in Data Science, Statistics, Actuarial Science, or a related discipline preferred. 8+ years of data analytics, data operations, or business intelligence Strong technical skills in SQL, Python, Excel, ETL processes, data warehousing, and Power BI. Experience with Microsoft Fabric and Medallion Architecture methodologies. Working knowledge of insurance operations, rating structures, actuarial concepts, risk modeling, and regulatory requirements. Ability to partner effectively with technical teams, business stakeholders, and cross-functional leadership groups. Experience with Origami and/or DXC Assure Claims is a plus. Requirements Data Analysis, Data Warehousing, SQL, Python, Insurance Companies, Property Casualty Insurance, Business operations Technology Doesn't Change the World, People Do. ## Description The successful candidate will serve as a critical liaison between business stakeholders and technical teams, overseeing data validation, reporting accuracy, and data governance efforts across the organization. This role will be responsible for maintaining trusted data assets, identifying and resolving data quality issues, and supporting ongoing modernization initiatives through advanced analytics and reporting solutions., Maintain and validate centralized data repositories, ensuring data integrity, consistency, and timely availability. Reconcile and verify data across source systems, data warehouses, semantic models, and reporting platforms. Investigate data discrepancies and partner with Data Engineering and QA teams to implement sustainable solutions. Design, develop, and support operational dashboards and reporting solutions using Power BI. Assist with migration of legacy reporting processes to modern business intelligence platforms. Manage datasets, semantic models, report distributions, and reporting governance processes. Collaborate with business leaders to define reporting requirements and establish data standards. Monitor reporting environments and batch processing activities, including month-end, quarter-end, and year-end operations. 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