Data Analytics Engineer

Overview

Founded in 1898
, Mutual of Enumclaw is a people-first insurer rooted in community, recognized as Washington’s Best Company to Work For for the 14th consecutive year
, and proudly serving individuals, families, farms, and businesses through local independent agents across the West.

The Data Analytics Engineer bridges the gap between raw data and business insights by designing, building, and governing analytics-ready data assets across the P&C insurance value chain - Underwriting, Actuarial, Claims, Product, Distribution, and Finance - and all lines of business (Personal, Commercial, and Farm). Translating insurance business logic into governed, scalable data models, the Data Analytics Engineer partners with stakeholders to deliver trusted reporting and analytics solutions and plays a key role in advancing Mutual of Enumclaw's Snowflake-based medallion architecture and enabling data-driven decision-making across the company.

Location: Remote, with preference given to those residing in WA, OR, , MT, WY, AZ, or UT. (Candidates must be able to work during our core Pacific Standard Time business hours and have high-speed internet – an internet speed test is required.)

Hiring Range: $140,891 - $157,545

Salary Range: $140,891 - $171,631

Supervisory Responsibilities:

• None.

Responsibilities:

Business Partnership & Delivery

• Partner with stakeholders across Product, Actuarial, Underwriting, Claims, Finance, and Distribution to gather requirements and define KPIs, reporting needs, and data specifications
• Design, build, and maintain dashboards, reports, and visualizations in Sigma, Power BI, or equivalent BI platforms that deliver trusted insights to underwriters, actuaries, claims leaders, distribution partners, and executive leadership
• Translate business needs into scalable data solutions, dashboards, and analyses that support strategic and operational decision-making
• Support recurring and ad hoc reporting, including financial, operational, and executive reporting

Data Modeling & Engineering

• Design, build, and maintain data models, transformations, and semantic layers within a Snowflake-based medallion architecture
• Develop scalable, testable data pipelines using SQL and dbt (or equivalent tools)
• Integrate data from internal and external sources (e.g., policy systems, Salesforce, Hub Spot)
• Enable self-service analytics by designing semantic layers and certified data products that allow business users to answer their own questions without engineering intervention

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 participate in Agile ceremonies (planning, refinement, sprint reviews)
• Define acceptance criteria and deliver high-quality data products
• Provide production support and troubleshoot data/reporting issues as needed

Required Skills/Abilities:

• P&C insurance industry experience required, with demonstrated understanding of the insurance value chain from underwriting through claims and fluency in core insurance concepts, terminology, and reporting metrics.
• Strong experience designing, building, and publishing dashboards and reports in Sigma, Power BI, or equivalent BI platforms, including data modeling for self-service consumption required
• Strong experience with cloud data warehouses (Snowflake preferred) and transformation tools such as dbt
• Proficiency in SQL; working knowledge of Python or similar scripting languages preferred
• Solid understanding of dimensional modeling, ELT processes,…