Live opening · Posted 4 days ago
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The P&C Insurance Industry Data Analytics Engineer at Mutual of Enumclaw will bridge the gap between raw data and business insights by designing, building, and governing analytics-ready data assets across the P&C (Property & Casualty) insurance value chain - Underwriting, Actuarial, Claims, Product, Distribution, and Finance - and all lines of business (Personal, Commercial, and Farm.)
This role translates insurance business logic into governed, scalable data models, partnering with stakeholders to deliver trusted reporting and analytics solutions and plays a key role in advancing our Snowflake-based medallion architecture and enabling data-driven decision-making across the company.
Location: Preference will be given to those residing in WA, OR, ID, MT, WY, AZ, or UT. (Candidates must be able to work during our core Pacific Time Zone business hours.)
Responsibilities:
Business Partnership & Delivery
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
Data Modeling & Engineering
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)
Data Governance & Quality
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
Agile Delivery & Support
Collaborate with Product Owners and Agile teams to deliver high-quality data products
Provide production support and troubleshoot data/reporting issues as needed
Required Skills and Abilities:
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
Education and Experience:
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
Hiring Range: $140,891 - $157,545*
Salary Range: $140,891 - $171,631
*The Hiring Range represents Mutual of Enumclaw’s current hiring pay scale for this role. Mutual of Enumclaw reserves the right to modify or update this range any time. Exact compensation may vary based on skills and experience. Compensation is only one part of our entire total rewards package. To see some of the benefits and perks we offer, please click here.
Physical Requirements:
Prolonged periods of sitting at a desk and working on a computer, including video conferencing.
Work arrangement
Hybrid
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