Insurance Data Analytics Engineer

Mutual of Enumclaw is seeking an 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 P&C insurance value chain, and 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