Data Analysis Specialist

Total Required Experience in Years: Minimum 13+ Years Overall, 10+ Years EDW/DWH, 7+ Years P&C Insurance, 5+ Years BI/Reporting Tools Seeking an experienced Reporting Data Analyst to support enterprise reporting, data warehousing, analytics, and insurance data initiatives within a Property & Casualty (P&C) insurance environment. The ideal candidate should possess deep expertise in enterprise data warehousing, reporting, Workers Compensation, insurance data interpretation, Guidewire systems, SQL, dimensional modeling, and reporting architecture. This role requires acting as a Subject Matter Expert (SME) for enterprise insurance data, translating complex business processes into reporting structures, ensuring accurate data lineage, validating enterprise reporting outputs, and supporting analytics initiatives aligned with business objectives and regulatory requirements. The candidate will collaborate with business leaders, technical teams, and stakeholders to ensure reliable reporting, accurate warehouse data interpretation, and strong enterprise data governance practices. Act as a Data and Domain SME across Property & Casualty insurance subject areas including policy, claims, billing, and financial systems Demonstrate expertise in Commercial Lines including Workers Compensation, General Liability, Commercial Auto, Property, and Umbrella/Excess insurance domains Collaborate with business stakeholders to gather, analyze, validate, and document reporting requirements and data extract needs Leverage Guidewire platforms including PolicyCenter, ClaimCenter, BillingCenter, Genius, and SAP to interpret enterprise data and establish lineage Map policy lifecycle activities including submission, quote, bind, issue, endorsements, renewals, cancellations, and reinstatements into EDW structures Analyze claims lifecycle data including reserves, recoveries, payments, and financial reporting metrics Perform source-to-target mapping, data lineage analysis, transformation validation, and reconciliation across ETL and EDW environments Develop, validate, and optimize complex SQL queries, reporting datasets, and views across enterprise warehouse environments Investigate and resolve data discrepancies across source systems, ETL pipelines, reporting environments, and warehouse layers Document business rules, metadata, data lineage, mappings, and reporting definitions Support User Acceptance Testing (UAT), defect analysis, reporting enhancements, and production reporting support Educate stakeholders on reporting interpretation, governance standards, and enterprise data usage best practices Support enterprise reporting governance, insurance analytics, and business intelligence initiatives Collaborate with senior business leaders and cross-functional technical teams on strategic reporting efforts Provide SME-level guidance on insurance data interpretation and enterprise reporting architecture Facilitate stakeholder discussions and explain complex data concepts to technical and non-technical audiences Support continuous improvement efforts for reporting quality, data governance, and warehouse optimization Minimum 13+ years of experience as a hands-on Reporting/Data Analyst in enterprise environments Minimum 10+ years of experience working with Enterprise Data Warehousing (EDW/DWH) solutions Minimum 7+ years of Property & Casualty (P&C) Insurance experience, preferably Commercial Lines Strong domain expertise in Workers Compensation and claims analytics Minimum 5+ years of experience with BI and reporting tools such as Power BI and MicroStrategy Hands-on experience with Guidewire (PolicyCenter, ClaimCenter, BillingCenter), Genius, and SAP Advanced SQL experience working with large-scale enterprise data warehouses Strong understanding of data lineage, traceability, dimensional modeling, source-to-target mapping, and reporting architecture Proven experience reconciling data between enterprise transactional systems and warehouse environments Strong experience working in enterprise insurance, data warehousing, and reporting environments required Recognized SME-level expertise in Insurance Data and Data Warehousing preferred Canada Citizen or Permanent Resident required Bachelors degree in Computer Science, MIS, or related field (or equivalent experience) required Power BI certification preferred Data Warehousing or Business Intelligence certification preferred #