P&C Insurance Data Analytics Engineer

Mutual of Enumclaw is seeking a P&C Insurance Data Analytics Engineer to bridge the gap between raw data and business insights. The role involves designing, building, and governing analytics-ready data assets across the insurance value chain, while partnering with stakeholders to deliver trusted reporting and analytics solutions.

Responsibilities:

• Partner with business stakeholders to define KPIs, reporting requirements, and scalable analytics solutions that support strategic and operational decision-making
• Design and maintain dashboards, reports, and visualizations in Sigma, Power BI, or similar BI platforms to deliver trusted business insights
• Design and maintain scalable data models, pipelines, and semantic layers within a modern Snowflake/dbt architecture to support self-service analytics
• Integrate data from internal and external sources (e.g., policy systems, Salesforce, HubSpot)
• Define and enforce data governance standards, including data definitions, access controls, and metadata management
• Validate and test data outputs to ensure accuracy and reliability
• Monitor data performance and continuously improve data products based on user feedback
• Collaborate with Product Owners and Agile teams to deliver high-quality data products
• Provide production support and troubleshoot data/reporting issues as needed

Requirements:

• P&C (Property & Casualty) insurance experience required, including familiarity with Underwriting, Claims, and Insurance reporting metrics
• Strong experience building dashboards and reports in Sigma, Power BI, or similar BI platforms
• Strong experience with cloud data warehouses (Snowflake preferred) and transformation tools such as dbt
• Solid understanding of dimensional modeling, ELT processes, and modern data architectures (e.g., medallion/lakehouse)
• Knowledge of data integration methods including APIs and semi-structured data
• Strong communication skills with the ability to translate technical concepts for business audiences
• Experience working in Agile environments
• Proficiency in SQL
• Bachelor's degree in data science, computer science, statistics, or a related field (or equivalent experience)
• 5+ years of experience in data analytics, data engineering, or related roles within the insurance industry
• Experience working with data systems, pipelines, and reporting solutions